Application of Fuzzy Logic to Social Choice Theory

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A01=Davender S. Malik
A01=John N. Mordeson
A01=Terry D. Clark
advanced fuzzy set applications in economics
Age Group_Uncategorized
Age Group_Uncategorized
Aggregation Rule
Arrow's Theorem
Arrow’s Theorem
Author_Davender S. Malik
Author_John N. Mordeson
Author_Terry D. Clark
automatic-update
Auxiliary Function
binary
case
Category1=Non-Fiction
Category=PBCD
Category=PBWX
Category=UMB
Choice Function
collective choice models
COP=United States
crisp
Crisp Case
decision theory
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Fuzzy Binary Relation
Fuzzy Ordering
Fuzzy Preference
Fuzzy Preference Relations
Fuzzy Relation
Fuzzy Subset
Intuitionistic Fuzzy
Intuitionistic Fuzzy Set
intuitionistic logic
Irrelevant Alternatives
Language_English
max
Max Min Transitivity
Median Voter Theorem
min
Minimum T-norm
multi-criteria analysis
Negative Transitive
PA=Available
Partially Transitive
preference
Preference Relations
Price_€100 and above
PS=Active
relation
relations
Revealed Preference Theory
social welfare functions
softlaunch
Strict Preference
Strict Preference Relations
subsets
transitive
Type Pi
voting systems
Weak Transitivity

Product details

  • ISBN 9781482250985
  • Weight: 640g
  • Dimensions: 156 x 234mm
  • Publication Date: 03 Mar 2015
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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Fuzzy social choice theory is useful for modeling the uncertainty and imprecision prevalent in social life yet it has been scarcely applied and studied in the social sciences. Filling this gap, Application of Fuzzy Logic to Social Choice Theory provides a comprehensive study of fuzzy social choice theory.

The book explains the concept of a fuzzy maximal subset of a set of alternatives, fuzzy choice functions, the factorization of a fuzzy preference relation into the "union" (conorm) of a strict fuzzy relation and an indifference operator, fuzzy non-Arrowian results, fuzzy versions of Arrow’s theorem, and Black’s median voter theorem for fuzzy preferences. It examines how unambiguous and exact choices are generated by fuzzy preferences and whether exact choices induced by fuzzy preferences satisfy certain plausible rationality relations. The authors also extend known Arrowian results involving fuzzy set theory to results involving intuitionistic fuzzy sets as well as the Gibbard–Satterthwaite theorem to the case of fuzzy weak preference relations. The final chapter discusses Georgescu’s degree of similarity of two fuzzy choice functions.

Dr. John N. Mordeson is a professor of mathematics, the John N. Mordeson Endowed Chair in Mathematics, and the director of the Center for Mathematics of Uncertainty at Creighton University. Dr. Mordeson has published 15 books and nearly 200 journal articles. He is an editorial board member of numerous journals and the current president of the Society for Mathematics of Uncertainty. His research interests include coding theory, fuzzy automata theory, fuzzy information retrieval, and fuzzy cluster analysis.

Dr. Davender S. Malik is a professor of mathematics at Creighton University. His research interests include algebra, fuzzy automata theory, and fuzzy logic. Dr. Malik has published 17 books and more than 50 papers.

Dr. Terry D. Clark is a professor of political science and the director of the graduate program in international relations at Creighton University. Dr. Clark has published four books and numerous journal articles. His research interests include fuzzy math spatial modeling, comparative politics, international relations, social network analysis, and intelligence analysis.

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