Results for 'multi-attribute decision making'

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  1. Multi-Attribute Decision Making Based on Several Trigonometric Hamming Similarity Measures under Interval Rough Neutrosophic Environment.Surapati Pramanik, Rumi Roy, Tapan Kumar Roy & Florentin Smarandache - 2018 - Neutrosophic Sets and Systems 19:110-118.
    In this paper, the sine, cosine and cotangent similarity measures of interval rough neutrosophic sets is proposed. Some properties of the proposed measures are discussed. We have proposed multi attribute decision making approaches based on proposed similarity measures. To demonstrate the applicability, a numerical example is solved.
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  2. Multi Attribute Decision Making Strategy on Projection and Bidirectional Projection Measures of Interval Rough Neutrosophic Sets.Surapati Pramanik, Rumi Roy, Tapan Kumar Roy & Florentin Smarandache - 2018 - Neutrosophic Sets and Systems 19:101-109.
    In this paper, we define projection and bidirectional projection measures between interval rough neutrosophic sets and prove their basic properties. Then two new multi attribute decision making strategies are proposed based on interval rough neutrosophic projection and bidirectional projection measures respectively. Then the proposed methods are applied for solving multi attribute decision making problems. Finally, a numerical example is solved to show the feasibility, applicability and effectiveness of the proposed strategies.
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  3. GRA for Multi Attribute Decision Making in Neutrosophic Cubic Set Environment.Durga Banerjee, Bibhas C. Giri, Surapati Pramanik & Florentin Smarandache - 2017 - Neutrosophic Sets and Systems 15:60-69.
    In this paper, multi attribute decision making problem based on grey relational analysis in neutrosophic cubic set environment is investigated. In the decision making situation, the attribute weights are considered as single valued neutrosophic sets. The neutrosophic weights are converted into crisp weights. Both positve and negative GRA coefficients, and weighted GRA coefficients are determined. Hamming distances for weighted GRA coefficients and standard (ideal) GRA coefficients are determined. The relative closeness coefficients are derived (...)
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  4. Multi-attribute Decision Making based on Rough Neutrosophic Variational Coefficient Similarty Measure.Kalyan Modal, Surapati Pramanik & Florentin Smarandache - 2016 - Neutrosophic Sets and Systems 13:3-17.
    The purpose of this study is to propose new similarity measures namely rough variational coefficient similarity measure under the rough neutrosophic environment. The weighted rough variational coefficient similarity measure has been also defined. The weighted rough variational coefficient similarity measures between the rough ideal alternative and each alternative are xxxxx calculated to find the best alternative. The ranking order of all the alternatives can be determined by using the numerical values of similarity measures. Finally, an illustrative example has been provided (...)
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  5. An extended TOPSIS for multi-attribute decision making problems with neutrosophic cubic information.Surapati Pramanik, Partha Pratim Dey, Bibhas C. Giri & Florentin Smarandache - 2017 - Neutrosophic Sets and Systems 17:20-28.
    The paper proposes a new technique for dealing with multi-attribute decision making problems through an extended TOPSIS method under neutrosophic cubic environment. Neutrosophic cubic set is the generalized form of cubic set and is the hybridization of a neutrosophic set with an interval neutrosophic set. In this study, we have defined some operation rules for neutrosophic cubic sets and proposed the Euclidean distance between neutrosophic cubic sets. In the decision making situation, the rating of (...)
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  6. Correlation Coefficient Measures of Interval Bipolar Neutrosophic Sets for Solving Multi-Attribute Decision Making Problems.Surapati Pramanik, Dey Partha Pratim & Florentin Smarandache - 2018 - Neutrosophic Sets and Systems 19:70-79.
    Interval bipolar neutrosophic set is a significant extension of interval neutrosophic set where every element of the set comprises of three independent positive membership functions and three independent negative membership functions. In this study, we first define correlation coefficient, and weighted correlation coefficient measures of interval bipolar neutrosophic sets and prove their basic properties. Then, we develop a new multi-attribute decision making strategy based on the proposed weighted correlation coefficient measure. Finally, we solve an investment problem (...)
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  7.  11
    Subjective Importance of a Common Feature Decides Its Consideration in Multi-attribute Decision-making.Ziyi Wang & Guibing He - 2021 - Frontiers in Psychology 11.
    One of the interesting research questions in multi-attribute decision-making is what affects the consideration of shared information between two alternatives. Previous studies have suggested two approaches in finding what characteristics of common features affect their consideration. Two bottom-up factors were found, but no top-down factors were discovered. In the current study, we followed the top-down approach and investigated how subjective importance of a common feature affects its consideration. In two studies, we consistently found that, on both (...)
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  8. Bipolar Neutrosophic Projection Based Models for Solving Multi-Attribute Decision-Making Problems.Surapati Pramanik, Partha Pratim Dey, Bibhas C. Giri & Florentin Smarandache - 2017 - Neutrosophic Sets and Systems 15:70-79.
    Bipolar neutrosophic sets are the extension of neutrosophic sets and are based on the idea of positive and negative preferences of information. Projection measure is a useful apparatus for modelling real life decision making problems. In the paper, we define projection, bidirectional projection and hybrid projection measures between bipolar neutrosophic sets. Three new methods based on the proposed projection measures are developed for solving multi-attribute decision making problems. In the solution process, the ratings of (...)
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  9. An expected value-based novel similarity measure for multi-attribute decision-making problems with single-valued trapezoidal neutrosophic numbers.Palash Dutta & Gourangajit Borah - 2020 - In Harish Garg (ed.), Decision-making with neutrosophic set: theory and applications in knowledge management. New York: Nova Science Publishers.
     
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  10.  7
    A spectrum of compromise aggregation operators for multi-attribute decision making.Xudong Luo & Nicholas R. Jennings - 2007 - Artificial Intelligence 171 (2-3):161-184.
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  11. Multi criteria decision making using correlation coefficient under rough neutrosophic environment.Surapati Pramanik, Rumi Roy, Tapan Kumar Roy & Florentin Smarandache - 2017 - Neutrosophic Sets and Systems 17:29-38.
    In this paper, we define correlation coefficient measure between any two rough neutrosophic sets. We also prove some of its basic properties.. We develop a new multiple attribute group decision making method based on the proposed correlation coefficient measure. An illustrative example of medical diagnosis is solved to demonstrate the applicability and effecriveness of the proposed method.
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  12.  22
    Culture-specific models of negotiation for virtual characters: multi-attribute decision-making based on culture-specific values.Elnaz Nouri, Kallirroi Georgila & David Traum - 2017 - AI and Society 32 (1):51-63.
  13.  59
    Attribute preference and selection in multi-attribute decision making: Implications for unconscious and conscious thought.Narayanan Srinivasan & Sumitava Mukherjee - 2010 - Consciousness and Cognition 19 (2):644-652.
    Unconscious thought theory (UTT) states that all information is taken into account and the attributes are weighted optimally resulting in better decisions in complex decision problems during unconscious thought. Very few studies have investigated the actual amount of information processed in the unconscious thought condition. We hypothesized that only a small subset of information might be considered during unconscious thought (like conscious thought). To test this possibility and to explore the way attribute information is selected and combined, we (...)
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  14. Rough Neutrosophic TOPSIS for Multi-Attribute Group Decision Making.Kalyan Modal, Surapati Pramanik & Florentin Smarandache - 2016 - Neutrosophic Sets and Systems 13:105-117.
    This paper is devoted to present Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for multi-attribute group decision making under rough neutrosophic environment. The concept of rough neutrosophic set is a powerful mathematical tool to deal with uncertainty, indeterminacy and inconsistency. In this paper, a new approach for multi-attribute group decision making problems is proposed by extending the TOPSIS method under rough neutrosophic environment. Rough neutrosophic set is characterized by (...)
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  15. Multi-attribute group decision-making based on uncertain linguistic neutrosophic sets and power Hamy mean operator.Yuan Xu, Xiaopu Shang & Jun Wang - 2020 - In Harish Garg (ed.), Decision-making with neutrosophic set: theory and applications in knowledge management. New York: Nova Science Publishers.
     
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  16.  23
    An Approach to Multi-attribute Group Decision Making with Trapezoidal Interval Type-2 Fuzzy Sets and Application to Teaching Quality Assessment.Hongren Jiang - 2014 - Journal of Intelligent Systems 23 (4):391-404.
    Trapezoidal interval type-2 fuzzy sets are a special kind of type-2 fuzzy sets. TIT2FSs are useful in dealing with fuzziness inherent in decision data and the decision-making process. For multi-attribute group decision-making problems in which the attribute values and attribute weights are TIT2FSs, a new decision-making approach is proposed. On the basis of the concept of barycenters, a new approach to ranking TIT2FSs is given. Four kinds of geometric aggregation (...)
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  17. Trnn-Aras strategy for multi-attribute group decision-making (Magdm) in trapezoidal neutrosophic number environment with unknown weight.Rama Mallick & Surapati Pramanik - 2020 - In Harish Garg (ed.), Decision-making with neutrosophic set: theory and applications in knowledge management. New York: Nova Science Publishers.
     
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  18.  22
    Power Average Operators of Trapezoidal Cubic Fuzzy Numbers and Application to Multi-attribute Group Decision Making.Muhammad Shakeel, Saleem Abdullah, Fazli Amin & Aliya Fahmi - 2019 - Journal of Intelligent Systems 29 (1):1643-1661.
    Trapezoidal cubic fuzzy numbers (TzCFNs) are an extraordinary cubic fuzzy set on a real number set. TzCFNs are useful for dealing with well-known quantities in decision data and decision making problems themselves. This paper is about multi-attribute group decision making problems in which the attribute values are stated with TzCFNs, which are solved by developing a new decision method based on power average operators of TzCFNs. The new operation laws for TzCFNs (...)
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  19.  53
    Parametric multi-attribute utility functions for optimal profit under risk constraints.Babacar Seck, Laetitia Andrieu & Michel De Lara - 2012 - Theory and Decision 72 (2):257-271.
    We provide an economic interpretation of the practice consisting in incorporating risk measures as constraints in an expected prospect maximization problem. For what we call the infimum of expectations class of risk measures, we show that if the decision maker (DM) maximizes the expectation of a random prospect under constraint that the risk measure is bounded above, he then behaves as a “generalized expected utility maximizer” in the following sense. The DM exhibits ambiguity with respect to a family of (...)
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  20.  10
    Study on decision-making of soccer robot based on rough set theory.Li Zhang & Xulu Xue - 2019 - Interaction Studies 20 (1):61-77.
    “Rough set” is a theory put forward by the polish scholar Z. Pawlak, which is a useful mathematics tool for dealing with vague and uncertain information. Rough set theory can achieve a subset of all attribute which preserves the discernible ability of original features, by using the data only with no additional information. As a typical system of multi-agent, the decision-making system of soccer robot has the features of multi-layered, antagonism, and cooperation. On the bases (...)
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  21.  58
    A Hierarchical Bayesian Modeling Approach to Searching and Stopping in Multi-Attribute Judgment.Don van Ravenzwaaij, Chris P. Moore, Michael D. Lee & Ben R. Newell - 2014 - Cognitive Science 38 (7):1384-1405.
    In most decision-making situations, there is a plethora of information potentially available to people. Deciding what information to gather and what to ignore is no small feat. How do decision makers determine in what sequence to collect information and when to stop? In two experiments, we administered a version of the German cities task developed by Gigerenzer and Goldstein (1996), in which participants had to decide which of two cities had the larger population. Decision makers were (...)
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  22.  32
    Multiple-attribute Decision-Making Method under a Single-Valued Neutrosophic Hesitant Fuzzy Environment.Jun Ye - 2015 - Journal of Intelligent Systems 24 (1):23-36.
    On the basis of the combination of single-valued neutrosophic sets and hesitant fuzzy sets, this article proposes a single-valued neutrosophic hesitant fuzzy set as a further generalization of the concepts of fuzzy set, intuitionistic fuzzy set, single-valued neutrosophic set, hesitant fuzzy set, and dual hesitant fuzzy set. Then, we introduce the basic operational relations and cosine measure function of SVNHFSs. Also, we develop a single-valued neutrosophic hesitant fuzzy weighted averaging operator and a single-valued neutrosophic hesitant fuzzy weighted geometric operator and (...)
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  23. A Bipolar Neutrosophic Multi Criteria Decision Making Framework for Professional Selection.Mohamed Abdel-Basset, Abduallah Gamal, Le Hoang Son & Florentin Smarandache - 2020 - Applied Sciences 10 (1):1-21.
    In this paper, we propose a new hybrid neutrosophic multi criteria decision making (MCDM) framework that employs a collection of neutrosophic analytical network process (ANP), and order preference by similarity to ideal solution (TOPSIS) under bipolar neutrosophic numbers. The MCDM framework is applied for chief executive officer (CEO) selection in a case study at the Elsewedy Electric Group, Egypt. The proposed approach allows us to assemble individual evaluations of the decision makers and therefore perform accurate personnel (...)
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  24. Medical Diagnosis via Refined Neutrosophic Fuzzy Logic: Detection of Illness using Neutrosophic Sets.Florentin Smarandache, K. Hemabala & B. Srinivasa Kumar - 2023 - Journal of Advanced Zoology 44.
    The objective of the paper is to implement and validate diagnosis in the medical field via refined neutrosophic fuzzy logic (RNFL). As such, we have proposed a Max-Min composition (MMC) method in RNFL. This method deals with the diagnosis under certain constraints like uncertainty and indeterminacy. Further, we have considered the diagnosis problems to validate the sensitivity analysis of the novel multi attribute decision-making technique. Finally, we gave the graphical representations and compared the obtained results with (...)
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  25.  6
    Multiple-Attribute Decision-Making Method Based on Normalized Geometric Aggregation Operators of Single-Valued Neutrosophic Hesitant Fuzzy Information.Li Wang & Yan-Ling Bao - 2021 - Complexity 2021:1-15.
    As a generalization of both single-valued neutrosophic element and hesitant fuzzy element, single-valued neutrosophic hesitant fuzzy element is an efficient tool for describing uncertain and imprecise information. Thus, it is of great significance to deal with single-valued neutrosophic hesitant fuzzy information for many practical problems. In this paper, we study the aggregation of SVNHFEs based on some normalized operations from geometric viewpoint. Firstly, two normalized operations are defined for processing SVNHFEs. Then, a series of normalized aggregation operators which fulfill some (...)
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  26.  36
    Decisions vs. Willingness-to-Pay in Social Choice.P. Anand - 2000 - Environmental Values 9 (4):419-430.
    The paper compares use of willingness to pay values with multi-attribute utility as ways of modelling social choice problems in the environment. A number of reasons for moving away from willingness to pay are reviewed. The view proposed is that social choice is about the integration of competing claim types (utilities, rights, social contracts and beliefs about due process). However, willingness to pay is only indirectly related to the first of these and assumes an Arrovian approach, namely one (...)
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  27.  14
    ネット上の主観情報を獲得して利用する意思決定過程における知識獲得精度.山本 裕 藤本 和則 - 2004 - Transactions of the Japanese Society for Artificial Intelligence 19:571-579.
    This paper presents a mathematical model for decision making processes where the knowledge for the decision is constructed automatically from subjective information on the Internet. This mathematical model enables us to know the required degree of accuracy of knowledge acquisition for constructing decision support systems using two technologies: automated knowledge acquisition from information on the Internet and automated reasoning about the acquired knowledge. The model consists of three elements: knowledge source, which is a set of subjective (...)
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  28. Context Effects in Multi-Alternative Decision Making: Empirical Data and a Bayesian Model.Guy Hawkins, Scott D. Brown, Mark Steyvers & Eric-Jan Wagenmakers - 2012 - Cognitive Science 36 (3):498-516.
    For decisions between many alternatives, the benchmark result is Hick's Law: that response time increases log-linearly with the number of choice alternatives. Even when Hick's Law is observed for response times, divergent results have been observed for error rates—sometimes error rates increase with the number of choice alternatives, and sometimes they are constant. We provide evidence from two experiments that error rates are mostly independent of the number of choice alternatives, unless context effects induce participants to trade speed for accuracy (...)
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  29. A New Type of Neutrosophic Set in Pythagorean Fuzzy Environment and Applications to Multi-criteria Decision Making.Mahmut Can Bozyigit, Florentin Smarandache, Murat Olgun & Mehmet Unver - 2023 - International Journal of Neutrosophic Science 20 (2):107-134.
    In this paper, we introduce the concepts of Pythagorean fuzzy valued neutrosophic set (PFVNS) and Pythagorean fuzzy valued neutrosophic (PFVNV) constructed by considering Pythagorean fuzzy values (PFVs) instead of numbers for the degrees of the truth, the indeterminacy and the falsity, which is a new extension of intuitionistic fuzzy valued neutrosophic set (IFVNS). By means of PFVNSs, the degrees of the truth, the indeterminacy and the falsity can be given in Pythagorean fuzzy environment and more sensitive evaluations are made by (...)
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  30.  88
    A descriptive multi-attribute utility model for everyday decisions.Jie W. Weiss, David J. Weiss & Ward Edwards - 2010 - Theory and Decision 68 (1-2):101-114.
    We propose a descriptive version of the classical multi-attribute utility model; to that end, we add a new parameter, momentary salience, to the customary formulation. The addition of this parameter allows the theory to accommodate changes in the decision maker’s mood and circumstances, as the saliencies of anticipated consequences are driven by concerns of the moment. By allowing for the number of consequences given attention at the moment of decision to vary, the new model mutes the (...)
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  31. An Extended TOPSIS Method for the Multiple Attribute Decision Making Problems Based on Interval Neutrosophic Uncertain Linguistics Variables.Said Broumi & Florentin Smarandache - 2015 - Neutrosophic Sets and Systems 8:22-31.
    The interval neutrosophic uncertain linguistic variables can easily express the indeterminate and inconsistent information in real world, and TOPSIS is a very effective decision making method more and more extensive applications. In this paper, we will extend the TOPSIS method to deal with the interval neutrosophic uncertain linguistic information, and propose an extended TOPSIS method to solve the multiple attribute decision making problems in which the attribute value takes the form of the interval neutrosophic (...)
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  32.  54
    The Meta-Analysis of Neuro-Marketing Studies: Past, Present and Future.Mehri Shahriari, Davood Feiz, Azim Zarei & Ehsan Kashi - 2019 - Neuroethics 13 (3):261-273.
    One of the new topics that has attracted the attention of researchers in recent years is neuro-marketing. The purpose of the present study is to achieve an insight into the progress of studies on neuro-marketing through review of scientific articles in this field with methodology text-mining. A total of 394 articles were selected between 2005 and 2017 using the search for “neuro-marketing” in valid databases. By reviewing the title, abstract, and keywords at various stages of screening, the researchers selected 311 (...)
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  33.  24
    Individual differences in decisiveness: pre-decisional information search and decision strategy use.Jan Marković, Sylwia Ślifierz, Jarosław Orzechowski, Małgorzata Kossowska & Szymon Wichary - 2008 - Polish Psychological Bulletin 39 (1):47-53.
    Individual differences in decisiveness: pre-decisional information search and decision strategy use We investigated whether individual differences in decisiveness are associated with a tendency to use different decision strategies during pre-decisional information search. To explore these potential links we administered the Need for Cognitive Closure questionnaire to 62 participants, followed by a probabilistic inference, multi-attribute choice task. Participants high in decisiveness dimension, compared to ‘low decisives’, spent less time and acquired less information prior to making decisions, (...)
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  34.  85
    Community Detection Based on Density Peak Clustering Model and Multiple Attribute Decision-Making Strategy TOPSIS.Jianjun Cheng, Xu Wang, Wenshuang Gong, Jun Li, Nuo Chen & Xiaoyun Chen - 2021 - Complexity 2021:1-18.
    Community detection is one of the key research directions in complex network studies. We propose a community detection algorithm based on a density peak clustering model and multiple attribute decision-making strategy, TOPSIS. First, the two-dimensional dataset, which is transformed from the network by taking the density and distance as the attributes of nodes, is clustered by using the DBSCAN algorithm, and outliers are determined and taken as the key nodes. Then, the initial community frameworks are formed and (...)
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  35.  11
    The contribution of activity theory to modeling multi-actor decision-making: A focus on human capital investments.Silvia Marocco & Alessandra Talamo - 2022 - Frontiers in Psychology 13.
    Making investment decisions is usually considered a challenging task for investors because it is a process based on risky, complex, and consequential choices. When it comes to Investments in human capital, such as startups fundings, the aspect of decision-making becomes even more critical since the outcome of the DM process is not completely predictable. Indeed, it has to take into consideration the will, goals, and motivations of each human actor involved: those who invest as well as those (...)
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  36.  5
    A dynamic computational model of gaze and choice in multi-attribute decisions.Xiaozhi Yang & Ian Krajbich - 2023 - Psychological Review 130 (1):52-70.
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  37.  36
    What can the regression model of human judgment learn from multi-attribute decision theory?John Fountain - 1978 - Theory and Decision 9 (1):109-114.
  38.  38
    Finding Missing Links in Complex Networks: A Multiple-Attribute Decision-Making Method.Longjie Li, Shenshen Bai, Mingwei Leng, Lu Wang & Xiaoyun Chen - 2018 - Complexity 2018:1-16.
    Link prediction, which aims to forecast potential or missing links in a complex network based on currently observed information, has drawn growing attention from researchers. To date, a host of similarity-based methods have been put forward. Usually, one method harbors the idea that one similarity measure is applicable to various networks, and thus has performance fluctuation on different networks. In this paper, we propose a novel method to solve this issue by regarding link prediction as a multiple-attribute decision- (...) problem. In the proposed method, we consider RA, LP, and CAR indices as the multiattribute for node pairs. The technique for order performance by similarity to ideal solution is adopted to aggregate the multiattribute and rank node pairs. The proposed method is not limited to only one similarity measure, but takes separate measures into account, since different networks may have different topological structures. Experimental results on 10 real-world networks manifest that the proposed method is superior in comparison to state-of-the-art methods. (shrink)
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  39.  10
    Trust and robotics: a multi-staged decision-making approach to robots in community.Wenxi Zhang, Willow Wong & Mark Findlay - forthcoming - AI and Society:1-16.
    With the desired outcome of social good within the wider robotics ecosystem, trust is identified as the central adhesive of the human–robot interaction (HRI) interface. However, building trust between humans and robots involves more than improving the machine’s technical reliability or trustworthiness in function. This paper presents a holistic, community-based approach to trust-building, where trust is understood as a multifaceted and multi-staged looped relation that depends heavily on context and human perceptions. Building on past literature that identifies dispositional and (...)
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  40.  3
    An application of fuzzy multi-criteria decision making for topological design of large networks.Aaron Kershenbaum & Teresa Rubinson - 1991 - In Bernadette Bouchon-Meunier, Ronald R. Yager & Lotfi A. Zadeh (eds.), Uncertainty in Knowledge Bases: 3rd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU'90, Paris, France, July 2 - 6, 1990. Proceedings. Springer. pp. 528--537.
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  41.  30
    Multiple Attributes Group Decision-Making Approaches Based on Interval-Valued Dual Hesitant Fuzzy Unbalanced Linguistic Set and Their Applications.Xiaowen Qi, Junling Zhang & Changyong Liang - 2018 - Complexity 2018:1-22.
    Continuous environmental concerns regarding construction industry have been driving general constructors of mega infrastructure projects to incorporate green contractors. Although conventional multiple attributes decision-making methodologies have provided feasible ways to select contractor, high complexity in scenarios of megaprojects still challenges existing MADM methods in concurrently accommodating three key issues of decision hesitancy, attributes interdependency, and group attitudinal character. To elicit decision-makers’ hesitant fuzzy assessments more objectively and comprehensively, we define an expression tool called interval-valued dual hesitant (...)
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  42.  18
    Dsiu: ネットユーザのための意思決定支援: 研究の進捗と数理モデル構築へ向けたチャレンジを中心に.Shimazu Mitsunobu Fujimoto Kazunori - 2003 - Transactions of the Japanese Society for Artificial Intelligence 18 (1):36-44.
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  43.  17
    Pythagorean Fuzzy Interaction Partitioned Bonferroni Mean Operators and Their Application in Multiple-Attribute Decision-Making.Wei Yang, Jiarong Shi, Yong Liu, Yongfeng Pang & Ruiyue Lin - 2018 - Complexity 2018:1-25.
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  44.  26
    A Moral (Normative) Framework for the Judgment of Actions and Decisions in the Construction Industry and Engineering: Part II.Omar J. Alkhatib - 2017 - Science and Engineering Ethics 23 (6):1617-1641.
    The construction industry is typically characterized as a fragmented, multi-organizational setting in which members from different technical backgrounds and moral values join together to develop a particular business or project. The most challenging obstacle in the construction process is to achieve a successful practice and to identify and apply an ethical framework to manage the behavior of involved specialists and contractors and to ensure the quality of all completed construction activities. The framework should reflect a common moral ground for (...)
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  45.  33
    Religion-Based Decision Making in Indian Multinationals: A Multi-faith Study of Ethical Virtues and Mindsets.Christopher Chan & Subramaniam Ananthram - 2019 - Journal of Business Ethics 156 (3):651-677.
    The convergence of India’s rich cultural and religious heritage with its rapidly transforming economy provides a unique opportunity to understand how senior executives navigate the demands of the business environment within the context of their religious convictions. Forty senior executives with varying religious backgrounds and global responsibilities within Indian multinational corporations participated in this study. Drawing from virtue ethics theory and using systematic content analysis, several themes emerged for ethical virtues. The analysis illustrates how these deeply seated ethical virtues helped (...)
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  46.  12
    Effortful Processing Reduces the Attraction Effect in Multi-Alternative Decision Making: An Electrophysiological Study Using a Task-Irrelevant Probe Technique.Takashi Tsuzuki, Yuji Takeda & Itsuki Chiba - 2019 - Frontiers in Psychology 10.
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  47.  28
    Multi-stakeholder Partnerships for Sustainability: Designing Decision-Making Processes for Partnership Capacity.Adriane MacDonald, Amelia Clarke & Lei Huang - 2019 - Journal of Business Ethics 160 (2):409-426.
    To address the prevalence and complexities of sustainable development challenges around the world, organizations in the business, government, and non-profit sectors are increasingly collaborating via multi-stakeholder partnerships. Because complex problems can be neither understood nor addressed by a single organization, it is necessary to bring together the knowledge and resources of many stakeholders. Yet, how these partnerships coordinate their collaborative activities to achieve mutual and organization-specific goals is not well understood. This study takes an organization design perspective of collaborative (...)
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  48.  40
    Integrating Cognitive Process and Descriptive Models of Attitudes and Preferences.Guy E. Hawkins, A. A. J. Marley, Andrew Heathcote, Terry N. Flynn, Jordan J. Louviere & Scott D. Brown - 2014 - Cognitive Science 38 (4):701-735.
    Discrete choice experiments—selecting the best and/or worst from a set of options—are increasingly used to provide more efficient and valid measurement of attitudes or preferences than conventional methods such as Likert scales. Discrete choice data have traditionally been analyzed with random utility models that have good measurement properties but provide limited insight into cognitive processes. We extend a well-established cognitive model, which has successfully explained both choices and response times for simple decision tasks, to complex, multi-attribute discrete (...)
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  49. The Counseling, Self-Care, Adherence Approach to Person-Centered Care and Shared Decision Making: Moral Psychology, Executive Autonomy, and Ethics in Multi-Dimensional Care Decisions.Anders Herlitz, Christian Munthe, Marianne Törner & Gun Forsander - 2016 - Health Communication 31 (8):964-973.
    This article argues that standard models of person-centred care (PCC) and shared decision making (SDM) rely on simplistic, often unrealistic assumptions of patient capacities that entail that PCC/SDM might have detrimental effects in many applications. We suggest a complementary PCC/SDM approach to ensure that patients are able to execute rational decisions taken jointly with care professionals when performing self-care. Illustrated by concrete examples from a study of adolescent diabetes care, we suggest a combination of moral and psychological considerations (...)
     
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  50.  13
    Police Decision-Making in the Absence of Evidence-Based Guidelines: Assessment of Alcohol-Intoxicated Eyewitnesses.Daniel Pettersson, Magnus Bergquist & Angelica V. Hagsand - 2022 - Frontiers in Psychology 13.
    Regarding police procedures with alcohol-intoxicated witnesses, Swedish police officers have previously reported inconsistent and subjective decisions when interviewing these potentially vulnerable witnesses. Most officers have also highlighted the need for national policy guidelines aiding in conducting investigative interviews with intoxicated witnesses. The aims of the two studies presented here were to investigate whether police officers’ inconsistent interview decisions are attributable to a lack of research-based knowledge; their decision to interview, as well as their perceptions of the witnesses’ credibility could (...)
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