The way communicable diseases do spread from one person to another, depending upon the specific disease or causative infectious agent. Out of these diseases, some are incurable and the health care workers during their practice or otherwise acquire such infections and transmit them further to innocent patients who are unaware of about the health status of health care workers. The rights of an infected health care worker and patients are protected by many laws but in case of conflict of interests (...) between the individual right of the health care worker and life of a patient, then obviously by the principle of natural justice, saving the life of a person from such incurable infection gets the privilege. Therefore, there is a lot of ethical and professional dilemma, arising out, in such a type of scenario, irrespective of concealed or disclosed health status and the question mark is raised on whether clinical practice may be allowed in such cases. Some of the studies show the actual but very little risk of transmission from infected health care workers to patients. Therefore, in the current scenario, many western countries such as USA and UK are following different guidelines in this regard but the same is lacking in India. So, this article critically analyses the various issues arising out of it and thereby justifies the need to have a uniform infection control policy in this regard apart from legal and ethical binding on infected health care workers. (shrink)

Organization emerges as reality only through language. Transformation is such an emergence and it must get over the present context. A descriptive or implicative language fails to transcend the context. Linguistic suggestion of imageries and linguistic communion through imagination take departure from the present context and emerge as the new pleasurable transformed reality of organization. Linguistic holds the key to organizational transformation.

Cross entropy measure is one of the best way to calculate the divergence of any variable from the priori one variable. We define a new cross entropy measure under interval neutrosophic set environment.

This article questions the reading of Vivekananda. By drawing several fine lines of separations between a text and an utterance, we argue that Vivekananda spoke. Such separations have been drawn on three major aspects of locating a text as consciousness, as intention or as transmitted. Indeed, Vivekananda spoke as performance, and as knowledge has intimate relation with performance, this article draws major conclusions relating to science as from speaking. Much of science could be otherwise considered as myth and apprehending Vivekananda (...) as speaker would demythify knowledge and science. Vivekananda as we understood situated a dialogue in and about knowledge and about its epistemic. Such an analysis did not require an ‘other’ to be there. This suggests that India embraced knowledge as its weapon. Vivekananda rejected the putatively ‘spiritual’. Science and technology, insofar as this was mythic, did not appear to him attractive beyond what was called for by the necessity of pragmatism. Vivekananda talked about a state and about nationalism as a stepping stone only. He spoke on personal knowledge and freedom from ignorance and from poverty. (shrink)

The availability of new genetic testing technologies to identify individuals as at risk for a particular disease has inspired tremendous concern that individuals with gene mutations will soon be universally identified, for both insurance and employment purposes, as a genetic underclass. Scholarship in science and technology studies, however, suggests that understandings of genetic knowledge might be locally contingent, while research in comparative politics helps us understand how national context might play an important role in framing approaches to the regulation of (...) genetic information. What role does national context play in defining genetic risk and shaping approaches to the privacy of genetic information? Using data from interviews, document analysis, and ethnographic observation, the author follows debates among advocacy groups, insurers, and governments in the United States and Britain about the appropriate use of genetic information in insurance underwriting to understand how national context frames the definition of genetic risk as well as its regulation. (shrink)

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.

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.

The notion of neutrosophic cubic set is originated from the hybridization of the concept of neutrosophic set and interval valued neutrosophic set. We define similarity measure for neutrosophic cubic sets and prove some of its basic properties. We present a new multi criteria group decision making method with linguistic variables in neutrosophic cubic set environment. Finally, we present a numerical example to demonstrate the usefulness and applicability of the proposed method.

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 alternatives with respect to some predefined (...) attributes are presented in terms of neutrosophic cubic information where weights of the attributes are completely unknown. In the selection process, neutrosophic cubic positive and negative ideal solutions have been defined. An extended TOPSIS method is then proposed for ranking the alternatives and finally choosing the best one. Lastly, an illustrative example is solved to demonstrate the decision making procedure and effectiveness of the developed approach. (shrink)

Sutra is a form of text representation that has been used in both Tamil and Sanskrit literature to convey information in a short and crisp manner. Nanool, an ancient Tamil grammar masterpiece has used sutras for defining grammar rules. Similarly, in Sanskrit literature, many of the Shāstrās have used sutras for a concise representation of their content. Sutras are defined as short aphorisms, formulae-like structures that convey the complete essence of the text. They act as indices to the elaborate content (...) they refer to. Inspired by their characteristics, this article proposes an indexing mechanism based on sutras for discourse structures built using rhetorical structure theory and also using Sangati, a concept proposed in Sanskrit literature. The indices identified by the indexer are ideal for question answering, summary generation, and information retrieval systems. The indexer has been tested on IR system using 1000 Tamil language text documents. A performance comparison has also been made with one of the existing RST-based indexing technique. (shrink)

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.

Mīmāṁsā, an Indian hermeneutics provides an exhaustive methodology to interpret Vedic statements. A formalism namely, Mīmāṁsā Inspired Representation of Actions has already been proposed in a preliminary manner. This paper expands the formalism logically and includes Syntax and Semantics covering Soundness and Completeness. Here, several interpretation techniques from Mīmāṁsā have been considered for formalising the statements. Based on these, instructions that denote actions are categorized into positive and prohibitive unconditional imperatives and conditional imperatives that enjoin reason, temporal action and goal. (...) These instructions are evaluated to three values S, V and N. If the instruction is executed with the intention of goal, then it acquires the value of S; if the intention of goal is present and the instruction is not executed, then it assumes the value of V; and if there is no intention of goal, then the instruction is evaluated to N. This formalism has also been applied in different computational settings such as AI planning, Robotics, task analysis and classification of natural language instructions. An outline of these applications and the comparison of this formalism with other relevant theories are also presented in this paper. (shrink)

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 performance values of the alternatives with (...) respect to the attributes are expressed in terms of bipolar neutrosophic values. We calculate projection, bidirectional projection, and hybrid projection measures between each alternative and ideal alternative with bipolar neutrosophic information. All the alternatives are ranked to identify the best alternative. Finally, a numerical example is provided to demonstrate the applicability and effectiveness of the developed methods. Comparison analysis with the existing methods in the literature in bipolar neutrosophic environment is also performed. (shrink)

. This paper endeavors to formalize imperatives that convey actions. Imperatives, unlike propositions, do not hold the value of true or false. Peter Vranas proposed an alternate logical formalism in the literature of imperative logic with three values, namely: Satisfaction (), Violation () and Avoidance (). Although this formalism takes into account the conditional imperatives, it does not address imperatives from the perspective of actions. According to Mīmāṁsā, the prime motive of an imperative is to carry out action so as (...) to reach the goal. This paper modifies the notion of Vranas' imperative logic using Mīmāṁsā principles. The resulting imperative formalism, focusing on action representation, is presented with syntax, deduction rules and semantic tables. The effectiveness of this representation is demonstrated in the area of artificial intelligence planning. (shrink)

A hypertext learner navigates with a instinctive feeling for a knowledge. The learner does not know her queries, although she has a feeling for them. A learner’s navigation appears as complete upon the emergence of an aesthetic pleasure, called rasa. The order of arrival or the associational logic and even the temporal order are not relevant to this emergence. The completeness of aesthetics is important. The learner does not look for the intention of the writer, neither does she look for (...) significance. Lexia has a suggestive power and she is suggested in the arrival of aesthetics. Hypertext learning does not depend on communication. The learner in her pleasure transgresses the bounds of space-time to be in communion with several writers/learners. Hypertext learning does not appear to be fundamentally different from the analog learning; however, in performance, as in navigation, the learner assumes a mental state that helps her in her emergence into aesthetic bliss, of an arrival to the completed lexial navigation. This completeness is owing to aesthetics and is not owing to either the semantics or the query-fulfilling qualities. (shrink)

Contemporary democracy has given primacy to thought. Building up institutions on thought and reasoned discourse excludes out human actions derived not from thought that one thinks. Ordinary life is visited by emotion and passion. Such actions of unknown origin are captured best in the drama. Indian theory and practice of drama and the poetics offer communion between the performer and the viewer. Blissful relish of the actions and the dialogues lift up the banal actions from the ordinary to a state (...) beyond simple event. Relishing thus resides in cognition. Drama in theory and in its practice thus offers foundation to institutions that could embrace independent actions as well. In relish there is cognition and reasoning alone cannot lay claim. Folk life and folk actions thus could be emancipatory. (shrink)

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 with interval bipolar neutrosophic (...) information and comparison is given to demonstrate the applicability and effectiveness of the proposed strategy. (shrink)

Artificial intelligence (AI) impacts society and an individual in many subtler and deeper ways than machines based upon the physics and mechanics of descriptive objects. The AI project involves thus culture and provides scope to liberational undertakings. Most importantly AI implicates human ethical and attitudinal bearings. This essay explores how previous authors in this journal have explored related issues and how such discourses have provided to the present world a roadmap that can be followed to engage in discourses with ethical (...) and aesthetic implications of contemporary cognitive sciences. (shrink)

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 (...) to show the effectiveness and validity of the proposed approach. Comparisons of decision results of existing rough similarity measures have been provided. (shrink)

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 the upper and lower approximation operators and the (...) pair of neutrosophic sets that are characterized by truth-membership degree, indeterminacy membership degree, and falsity membership degree. In the decision situation, ratings of alternatives with respect to each attribute are characterized by rough neutrosophic sets that reflect the decision makers’ opinion. Rough neutrosophic weighted averaging operator has been used to aggregate the individual decision maker’s opinion into group opinion for rating the importance of attributes and alternatives. Finally, a numerical example has been provided to demonstrate the applicability and effectiveness of the proposed approach. (shrink)

This volume celebrates the centenary of the birth of Sarvepalli Radhakrishnan, India's leading philosopher of the twentieth century. Elected president of India in 1962, Radhakrishnan stressed the importance of creating a casteless and classless society in India, conveying his thoughts in extensive writings and numerous speeches. Including articles by twenty-nine leading scholars of Indian philosophy--many of whom knew Radhakrishnan personally--this collection is a critical examination of Radhakrishnan's contribution to the philosophy of religion and his role as an international statesman.

Due to advancements in technology such as data science and artificial intelligence, healthcare research has gained momentum and is generating new findings and predictions on abnormalities leading to the diagnosis of diseases or disorders in human beings. On one hand, the extensive application of data science to healthcare research is progressing faster, while on the other hand, the ethical concerns and adjoining risks and legal hurdles those data scientists may face in the future slow down the progression of healthcare research. (...) Simply put, the application of data science to ethically guided healthcare research appears to be a dream come true. Hence, in this paper, we discuss the current practices, challenges, and limitations of the data collection process during medical image analysis (MIA) conducted as part of healthcare research and propose an ethical data collection framework to guide data scientists to address the possible ethical concerns before commencing data analytics over a medical dataset. (shrink)

This open access book explains how leading business organizations attempt to achieve the responsible and ethical use of artificial intelligence (AI) and other advanced information technologies. These technologies can produce tremendous insights and benefits. But they can also invade privacy, perpetuate bias, and otherwise injure people and society. To use these technologies successfully, organizations need to implement them responsibly and ethically. The question is: how to do this? Data ethics management, and this book, provide some answers. -/- The authors interviewed (...) and surveyed data ethics managers at leading companies. They asked why these experts see data ethics as important and how they seek to achieve it. This book conveys the results of that research on a concise, accessible way. -/- Much of the existing writing on data and AI ethics focuses either on macro-level ethical principles, or on micro-level product design and tooling. The interviews showed that companies need a third component: data ethics management. This third element consists of the management structures, processes, training and substantive benchmarks that companies use to operationalize their high-level ethical principles and to guide and hold accountable their developers. Data ethics management is the connective tissue makes ethical principles real. It is the focus of this book. -/- This book should be of use to organizations that wish to improve their own data ethics management efforts, legislators and policymakers who hope to build on existing management practices, scholars who study beyond compliance business behavior, and members of the public who want to understand better the threats that AI poses and how to reduce them. (shrink)

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 in order to rank the alternatives. The (...) relative closeness coefficients are designed in ascending order. Finally, a numerical example is solved to demonstrate the applicability of the proposed approach. (shrink)

The changing milieu of research—increasingly global, interdisciplinary and collaborative—prompts greater emphasis on cultural context and upon partnership with international scholars and diverse community groups. Ethics training, however, tends to ignore the cross-cultural challenges of making ethical choices. This paper confronts those challenges by presenting a new curricular model developed by an international team. It examines ethics across a very broad range of situations, using case studies and employing the perspectives of social science, humanities and the sciences. The course has been (...) developed and taught in a highly collaborative way, involving researchers and students at Zhejiang University, the Indian Institute of Technology, Bombay and Brown University. The article presents the curricular modules of the course, learning outcomes, an assessment framework developed for the project, and a discussion of evaluation findings. (shrink)

The study of human cognition and the study of artificial intelligence (AI) have a symbiotic relationship, with advancements in one field often informing or creating new work in the other. Human cognition has many capabilities modern AI systems cannot compete with. One such capability is the detection, identification, and resolution of knowledge gaps (KGs). Using these capabilities as inspiration, we examine how to incorporate detection, identification, and resolution of KGs in artificial agents. We present a paradigm that enables research on (...) the understanding of KGs for visual-linguistic communication. We leverage and enhance and existing KG taxonomy to identify possible KGs that can occur for visual question answer (VQA) tasks and use these findings to develop a classifier to identify questions that could be engineered to contain specific KG types for other VQA datasets. Additionally, we examine the performance of different VQA models through the lens of KGs. (shrink)

The study of human cognition and the study of artificial intelligence (AI) have a symbiotic relationship, with advancements in one field often informing or creating new work in the other. Human cognition has many capabilities modern AI systems cannot compete with. One such capability is the detection, identification, and resolution of knowledge gaps (KGs). Using these capabilities as inspiration, we examine how to incorporate detection, identification, and resolution of KGs in artificial agents. We present a paradigm that enables research on (...) the understanding of KGs for visual-linguistic communication. We leverage and enhance and existing KG taxonomy to identify possible KGs that can occur for visual question answer (VQA) tasks and use these findings to develop a classifier to identify questions that could be engineered to contain specific KG types for other VQA datasets. Additionally, we examine the performance of different VQA models through the lens of KGs. (shrink)