Results for 'group decision making'

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  1.  22
    Individual Decision Making, Group Decision Making and Deliberation.Bojana Radovanovic - 2012 - Filozofija I Društvo 23 (2):147-167.
    Each of us makes a number of decisions, from the less important to those with far-reaching consequences. As members of different groups, we are also actors of group decision making. In order to make a rational decision, a choice-making procedure must satisfy a number of assumptions of rationality. In addition, when it comes to group decisions, those procedures should also be “fair.” However, it is not possible to define a procedure of choice-making that (...)
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  2.  20
    The Adaptive Use of Recognition in Group Decision Making.Juliane E. Kämmer, Wolfgang Gaissmaier, Torsten Reimer & Carsten C. Schermuly - 2014 - Cognitive Science 38 (5):911-942.
    Applying the framework of ecological rationality, the authors studied the adaptivity of group decision making. In detail, they investigated whether groups apply decision strategies conditional on their composition in terms of task-relevant features. The authors focused on the recognition heuristic, so the task-relevant features were the validity of the group members' recognition and knowledge, which influenced the potential performance of group strategies. Forty-three three-member groups performed an inference task in which they had to infer (...)
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  3.  29
    Ethical Decision Making: A Comparison of Computer- Supported and Face-to-Face Group[REVIEW]James J. Cappel & John C. Windsor - 2000 - Journal of Business Ethics 28 (2):95 - 107.
    This study compares computer-supported groups, i.e., groups using group support systems (GSS), and face-to-face groups using ethical decision-making tasks. A laboratory experiment was conducted using five-person groups of information systems professionals. Face-to-face (FTF) and GSS groups were compared in terms of their decision outcomes and group members' reactions. The results revealed that computer-supported and face-to-face groups showed no significant difference in terms of the decision outcomes of choice shift and decision polarity. However, FTF (...)
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  4.  30
    Supporting Individuals in Group Decision-Making.P. Korhonen & J. Wallenius - 1990 - Theory and Decision 28 (3):313-329.
  5.  22
    The Effects of Mental Model Formation on Group Decision Making: An Agent-Based Simulation.Hiroki Sayama, Dene L. Farrell & Shelley D. Dionne - 2011 - Complexity 16 (3):49-57.
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  6.  4
    Archimedean Muirhead Aggregation Operators of Q-Rung Orthopair Fuzzy Numbers for Multicriteria Group Decision Making.Yuchu Qin, Xiaolan Cui, Meifa Huang, Yanru Zhong, Zhemin Tang & Peizhi Shi - 2019 - Complexity 2019:1-33.
    q-Rung orthopair fuzzy number is a flexible and superior fuzzy information description tool which can provide stronger expressiveness than intuitionistic fuzzy number and Pythagorean fuzzy number. Muirhead mean operator and its dual form geometric MM operator are two all-in-one aggregation operators for capturing the interrelationships of the aggregated arguments because they are applicable in the cases in which all arguments are independent of each other, there are interrelationships between any two arguments, and there are interrelationships among any three or more (...)
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  7.  5
    Individual Vs. Group Decision-Making: An Experiment on Dynamic Choice Under Risk and Ambiguity.Enrica Carbone, Konstantinos Georgalos & Gerardo Infante - 2019 - Theory and Decision 87 (1):87-122.
    This paper focuses on the comparison of individual and group decision-making, in a stochastic inter-temporal problem in two decision environments, namely risk and ambiguity. Using a consumption/saving laboratory experiment, we investigate behaviour in four treatments: individual choice under risk; group choice under risk; individual choice under ambiguity and group choice under ambiguity. Comparing decisions within and between decision environments, we find an anti-symmetric pattern. While individuals are choosing on average closer to the theoretical (...)
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  8.  9
    A Heterogeneous Multiattribute Group Decision-Making Method Based on Intuitionistic Triangular Fuzzy Information.Jun Xu, Jiu-Ying Dong, Shu-Ping Wan, De-Yan Yang & Yi-Feng Zeng - 2019 - Complexity 2019:1-18.
    How to aggregate decision information in heterogeneous multiattribute group decision making is vital. The aim of this paper is to develop an approach to aggregating decision data into intuitionistic triangular fuzzy numbers for heterogeneous MAGDM problems with real numbers, interval numbers, triangular fuzzy numbers, trapezoidal fuzzy numbers, and triangular intuitionistic fuzzy number. Using the relative closeness of technique for order preference by similarity to ideal solution and geometry entropy method, we first present a general approach (...)
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  9.  7
    Extended Heronian Mean Based on Hesitant Fuzzy Linguistic Information for Multiple Attribute Group Decision-Making.Minghua Shi, Yuewen Xiao & Qing Wan - 2019 - Complexity 2019:1-19.
    This paper investigates the hesitant fuzzy linguistic multiple attribute group decision-making problem with the heterogeneous relationship among the attribute variables that cannot be solved by most existing decision-making methods. To address this problem, a new operator is introduced based on partitioning attribute variables into different sets according to their interrelationship. This operator is called the extended Heronian mean operator. To obtain each expert’s comprehensive values of the alternatives in the hesitant fuzzy linguistic MAGDM problem, we (...)
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  10.  9
    Approach to Multiple Attribute Group Decision Making Based on Hesitant Fuzzy Linguistic Aggregation Operators.Minghua Shi & Qingxian Xiao - 2019 - Journal of Intelligent Systems 29 (1):423-439.
    Inspired by the nonlinear weighted average operator, this paper proposes several generalized power average operators to aggregate hesitant fuzzy linguistic decision information. It is worth noting that the new operators take both the location and date weight information and the relative closeness of the decision-making information into consideration, a characteristic that results in objectivity and fairness in a group decision making. Moreover, we demonstrate some useful properties of the operators and discuss their associations. A (...)
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  11.  45
    Emotional Consensus in Group Decision Making.Paul Thagard & Fred W. Kroon - 2006 - Mind and Society 5 (1):85-104.
    This paper presents a theory and computational model of the role of emotions in group decision making. After reviewing the role of emotions in individual decision making, it describes social and psychological mechanisms by which emotional and other information is transmitted between individuals. The processes by which these mechanisms can contribute to group consensus are modeled computationally using a program, HOTCO 3, which has been used to simulate simple cases of emotion-based group (...) making. (shrink)
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  12.  3
    Linguistic Interval-Valued Intuitionistic Fuzzy Archimedean Power Muirhead Mean Operators for Multiattribute Group Decision-Making.Yuchu Qin, Xiaolan Cui, Meifa Huang, Yanru Zhong, Zhemin Tang & Peizhi Shi - 2020 - Complexity 2020:1-28.
    Two important tasks in multiattribute group decision-making are to describe the attribute values and to generate a ranking of all alternatives. A superior tool for the first task is linguistic interval-valued intuitionistic fuzzy number, and an effective tool for the second task is aggregation operator. To date, nearly ten AOs of LIVIFNs have been presented. Each AO has its own features and can work well in its specific context. But there is not yet an AO of LIVIFNs (...)
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  13.  97
    Clinical Ethics and the Dynamics of Group Decision-Making: Applying the Psychological Data to Decisions Made by Ethics Committees. [REVIEW]Erica K. Rangel - 2009 - HEC Forum 21 (2):207-228.
    Clinical Ethics and the Dynamics of Group Decision-Making: Applying the Psychological Data to Decisions Made by Ethics Committees Content Type Journal Article Pages 207-228 DOI 10.1007/s10730-009-9096-7 Authors Erica K. Rangel, Saint Louis University Department of Health Care Ethics 6333 North Rosebury Ave #3W St. Louis MO 63105 USA Journal HEC Forum Online ISSN 1572-8498 Print ISSN 0956-2737 Journal Volume Volume 21 Journal Issue Volume 21, Number 2.
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  14.  2
    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 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 are given. Hereby, (...)
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  15.  17
    Cubic Ordered Weighted Distance Operator and Application in Group Decision-Making.Muhammad Shakeel, Saleem Abdullah & Rehan Ahmed - 2019 - Journal of Intelligent Systems 29 (1):440-458.
    Group decision-making is a very useful technique for ranking the group of alternatives. The ordered weighted distance operator is a new tool in group decision-making problems. In this paper, we apply the OWD operator on cubic information. We develop a new operator, the so-called cubic OWD operator, and study the different properties of it. We also discuss some particular cases of COWD. Finally, we develop a general algorithm for group decision-making (...)
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  16.  47
    A Dutch Book for Group Decision-Making?Luc Bovens & Wlodek Rabinowicz - 2009 - In Benedikt Löwe, Eric Pacuit & Jan-Willem Romeijn (eds.), Foundations of the Formal Sciences Vi: Probabilistic Reasoning and Reasoning With Probabilities. Studies in Logic. London UK: College Publication. pp. 91-101.
    The Puzzle of the Hats is a betting arrangement which seems to show that a Dutch book can be made against a group of rational players with common priors who act in the common interest and have full trust in the other players’ rationality. But we show that appearances are misleading—no such Dutch book can be made. There are four morals. First, what can be learned from the puzzle is that there is a class of situations in which credences (...)
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  17.  13
    Some Interval-Valued Pythagorean Fuzzy Einstein Weighted Averaging Aggregation Operators and Their Application to Group Decision Making.Khaista Rahman, Saleem Abdullah & Muhammad Sajjad Ali Khan - 2019 - Journal of Intelligent Systems 29 (1):393-408.
    In this paper, we introduce the notion of Einstein aggregation operators, such as the interval-valued Pythagorean fuzzy Einstein weighted averaging aggregation operator and the interval-valued Pythagorean fuzzy Einstein ordered weighted averaging aggregation operator. We also discuss some desirable properties, such as idempotency, boundedness, commutativity, and monotonicity. The main advantage of using the proposed operators is that these operators give a more complete view of the problem to the decision makers. These operators provide more accurate and precise results as compared (...)
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  18.  12
    Pythagorean Fuzzy Einstein Hybrid Averaging Aggregation Operator and its Application to Multiple-Attribute Group Decision Making.Khaista Rahman, Saleem Abdullah, Asad Ali & Fazli Amin - 2019 - Journal of Intelligent Systems 29 (1):736-752.
    Pythagorean fuzzy set is one of the successful extensions of the intuitionistic fuzzy set for handling uncertainties in information. Under this environment, in this paper, we introduce the notion of Pythagorean fuzzy Einstein hybrid averaging aggregation operator along with some of its properties, namely idempotency, boundedness, and monotonicity. PFEHA aggregation operator is the generalization of Pythagorean fuzzy Einstein weighted averaging aggregation operator and Pythagorean fuzzy Einstein ordered weighted averaging aggregation operator. The operator proposed in this paper provides more accurate and (...)
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  19.  11
    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 operators for TIT2FSs (...)
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  20.  5
    Mixing Dyadic and Deliberative Opinion Dynamics in an Agent-Based Model of Group Decision-Making.George Butler, Gabriella Pigozzi & Juliette Rouchier - 2019 - Complexity 2019:1-31.
    In this article, we propose an agent-based model of opinion diffusion and voting where influence among individuals and deliberation in a group are mixed. The model is inspired from social modeling, as it describes an iterative process of collective decision-making that repeats a series of interindividual influences and collective deliberation steps, and studies the evolution of opinions and decisions in a group. It also aims at founding a comprehensive model to describe collective decision-making as (...)
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  21.  2
    Trapezoidal Linguistic Cubic Fuzzy TOPSIS Method and Application in a Group Decision Making Program.Shah Hussain, Muhammad Aslam, Fazli Amin, Saleem Abdullah & Aliya Fahmi - 2019 - Journal of Intelligent Systems 29 (1):1283-1300.
    The aim of this paper is to define some new operation laws for the trapezoidal linguistic cubic fuzzy number and Hamming distance. Furthermore, we define and use the trapezoidal linguistic cubic fuzzy TOPSIS method to solve the multi criteria decision making method. The new ranking method for trapezoidal linguistic cubic fuzzy numbers are used to rank the alternatives. Finally, an illustrative example is given to verify and prove the practicality and effectiveness of the proposed method.
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  22.  8
    Pythagorean Hesitant Fuzzy Information Aggregation and Their Application to Multi-Attribute Group Decision-Making Problems.Muhammad Sajjad Ali Khan, Saleem Abdullah, Asad Ali & Khaista Rahman - 2019 - Journal of Intelligent Systems 29 (1):154-171.
    In this paper, we introduce the concept of the Pythagorean hesitant fuzzy set, which is the generalization of the intuitionistic hesitant fuzzy set under the restriction that the square sum of its membership degrees is ≤1. In decision making with PHFSs, aggregation operators play a key role because they can be used to synthesize multidimensional evaluation values represented as Pythagorean hesitant fuzzy values into collective values. Under PHFS environments, Pythagorean hesitant fuzzy ordered weighted averaging and Pythagorean fuzzy ordered (...)
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  23.  57
    Endowment Effect in Negotiations: Group Versus Individual Decision-Making[REVIEW]Amira Galin - 2013 - Theory and Decision 75 (3):389-401.
    The study’s two aims are: to investigate whether groups, as compared to individuals, show a different degree of Endowment Effect during the negotiating of intangible assets, such as leisure time and to gain some insight into the underlying mechanism behind groups’ decision-making processes. A total of 138 graduate students were randomly assigned to 35 groups of 3 members each; and 33 were randomly labeled as “individuals.” The study simulated two scenarios in which the students, both individuals and groups, (...)
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  24.  19
    Ethical Decision Making and Leadership: Merging Social Role and Self-Construal Perspectives.Crystal L. Hoyt & Terry L. Price - 2015 - Journal of Business Ethics 126 (4):531-539.
    This research extends our understanding of ethical decision making on the part of leaders by merging social role and self-construal perspectives. Interdependent self-construal is generally seen as enhancing concern for justice and moral values. Across two studies, we tested the prediction that non-leading group members’ interdependent self-construal would be associated with lower levels of unethical decision making on behalf of their group but that, in contrast, this relationship would be weaker for leaders, given their (...)
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  25.  4
    Some Generalized Pythagorean Fuzzy Bonferroni Mean Aggregation Operators with Their Application to Multiattribute Group Decision-Making.Runtong Zhang, Jun Wang, Xiaomin Zhu, Meimei Xia & Ming Yu - 2017 - Complexity 2017:1-16.
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  26.  1
    Multiattribute Group Decision Making Methods Based on Linguistic Intuitionistic Fuzzy Power Bonferroni Mean Operators.Peide Liu & Xi Liu - 2017 - Complexity 2017:1-15.
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  27.  8
    An Approach to Interval-Valued Hesitant Fuzzy Multiattribute Group Decision Making Based on the Generalized Shapley-Choquet Integral.Lifei Zhang & Fanyong Meng - 2018 - Complexity 2018:1-19.
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  28. Group Decision Making Under Uncertainty a Note on the Aggregation of “Ordinal Probabilities”.Jean Laine, Michel Le Breton & Alain Trannoy - 1986 - Theory and Decision 21 (2):155-161.
    This paper is a first attempt to study the problem of aggregation of individual ordinal probabilistic beliefs in an Arrowian framework. We exhibit some properties an aggregation rule must fulfil; in particular we prove the existence of a “quasi-dictator”.
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  29.  47
    The Ecological Rationality of Simple Group Heuristics: Effects of Group Member Strategies on Decision Accuracy.Torsten Reimer & Ulrich Hoffrage - 2006 - Theory and Decision 60 (4):403-438.
    The notion of ecological rationality implies that the accuracy of a decision strategy depends on features of the information environment in which it is tested. We demonstrate that the performance of a group may be strongly affected by the decision strategies used by its individual members and specify how this effect is moderated by environmental features. Specifically, in a set of simulation studies, we systematically compared four decision strategies used by the individual group members: two (...)
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  30.  8
    Multiattribute Group Decision-Making Based on Linguistic Pythagorean Fuzzy Interaction Partitioned Bonferroni Mean Aggregation Operators.Mingwei Lin, Jiuhan Wei, Zeshui Xu & Riqing Chen - 2018 - Complexity 2018:1-24.
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  31.  13
    A Novel Approach to Fuzzy Soft Set-Based Group Decision-Making.Qinrong Feng & Xiao Guo - 2018 - Complexity 2018:1-12.
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  32.  13
    Some Hesitant Fuzzy Linguistic Muirhead Means with Their Application to Multiattribute Group Decision-Making.Jun Wang, Runtong Zhang, Xiaomin Zhu, Yuping Xing & Borut Buchmeister - 2018 - Complexity 2018:1-16.
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  33.  10
    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.
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  34.  14
    Decision Making in HIV Testing Among a Group with Low HIV Risk.Adrian Coyle, Maria Knapp & Edmond O'Dea - 1996 - Journal of Evaluation in Clinical Practice 2 (3):223-230.
  35.  42
    Consensus Through Respect: A Model of Rational Group Decision-Making.Carl Wagner - 1978 - Philosophical Studies 34 (4):335 - 349.
  36.  10
    Signal-Detection Analysis of Group Decision Making.Robert D. Sorkin, Christopher J. Hays & Ryan West - 2001 - Psychological Review 108 (1):183-203.
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  37.  8
    Information Sampling and Group Decision Making: The Effects of an Advocacy Decision Procedure and Task Experience.Tobias Greitemeyer, Stefan Schulz-Hardt, Felix C. Brodbeck & Dieter Frey - 2006 - Journal of Experimental Psychology: Applied 12 (1):31-42.
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  38.  15
    The Use of Recognition in Group DecisionMaking.Torsten Reimer & Konstantinos V. Katsikopoulos - 2004 - Cognitive Science 28 (6):1009-1029.
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  39.  16
    Democracy Under Uncertainty: The Wisdom of Crowds and the Free-Rider Problem in Group Decision Making.Tatsuya Kameda, Takafumi Tsukasaki, Reid Hastie & Nathan Berg - 2011 - Psychological Review 118 (1):76-96.
  40.  9
    Interval Type-2 Fuzzy Multiattribute Group Decision-Making for Logistics Services Providers Selection by Combining QFD with Partitioned Heronian Mean Operator.Hui Zhang, Hui Gao & Peide Liu - 2019 - Complexity 2019:1-25.
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  41.  9
    Group Decision Making and Social Influence: A Social Interaction Sequence Model.Garold Stasser & James H. Davis - 1981 - Psychological Review 88 (6):523-551.
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  42. Cognitive Psychology of Group Decision Making.J. Sniezek - 2001 - In N. J. Smelser & B. Baltes (eds.), International Encyclopedia of the Social and Behavioral Sciences. pp. 9--6399.
     
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  43.  5
    Large Group Decision-Making Approach Based on Stochastic MULTIMOORA: An Application of Doctor Evaluation in Healthcare Service.Yuxuan Gao, Yueping Du, Haiming Liang & Bingzhen Sun - 2018 - Complexity 2018:1-13.
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  44.  4
    A Method Adjusting Consistency and Consensus for Group Decision-Making Problems with Hesitant Fuzzy Linguistic Preference Relations Based on Discrete Fuzzy Numbers.Meng Zhao, Ting Liu, Jia Su & Meng-Ying Liu - 2018 - Complexity 2018:1-17.
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  45. Social Psychology of Group Decision Making.M. Hogg - 2001 - In N. J. Smelser & B. Baltes (eds.), International Encyclopedia of the Social and Behavioral Sciences. pp. 9--6403.
     
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  46.  1
    Group Decision-Making Approach Based on Generalized Grey Linguistic 2-Tuple Aggregation Operators.Lidong Wang & Yanjun Wang - 2018 - Complexity 2018:1-14.
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  47. Group Decision-Making-Analysis of the Ideal Group (Vol 30, Pg 484, 1992).Rd Sorkin, Dj Hilton & B. Wallace - 1993 - Bulletin of the Psychonomic Society 31 (1):85-85.
     
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  48.  6
    Voice in Political Decision-Making: The Effect of Group Voice on Perceived Trustworthiness of Decision Makers and Subsequent Acceptance of Decisions.Bart W. Terwel, Fieke Harinck, Naomi Ellemers & Dancker D. L. Daamen - 2010 - Journal of Experimental Psychology: Applied 16 (2):173-186.
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  49.  4
    Cognitive Synergy in Groups and Group-to-Individual Transfer of Decision-Making Competencies.Petru L. Curşeu, Nicoleta Meslec, Helen Pluut & Gerardus J. M. Lucas - 2015 - Frontiers in Psychology 6.
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  50.  12
    A Group-Randomized Trial of Shared Decision Making for Non-Steroidal Anti-Inflammatory Drug Risk Awareness: Primary Results and Lessons Learned.Michael J. Miller, Jeroan J. Allison, Daniel J. Cobaugh, Midge N. Ray & Kenneth G. Saag - 2014 - Journal of Evaluation in Clinical Practice 20 (5):638-648.
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