Linguistic fuzzy-logic game theory

被引:26
作者
Arfi, B [1 ]
机构
[1] Univ Florida, Dept Polit Sci, Gainesville, FL 32611 USA
关键词
game theory; fuzzy logic; Boolean logic; Nash equilibrium; prisioner's dilemma;
D O I
10.1177/0022002705284708
中图分类号
D81 [国际关系];
学科分类号
030207 ;
摘要
The author develops a new game-theoretic approach, anchored not in Boolean two-valued logic but instead in linguistic fuzzy logic. The latter is characterized by two key features. First, the truth values of logical propositions span a set of linguistic terms such as true, very true, almost false, very false, and false. Second, the logic allows logical categories to overlap in contrast to Boolean logic, where the two possible logical categories, "true" and "false," are sharply distinct. A game becomes a linguistic fuzzy logic game by turning strategies into linguistic fuzzy strategies, players' preferences into linguistic fuzzy preferences, and the rules of reasoning and inferences of the game into linguistic fuzzy reasoning operating according to linguistic fuzzy logic. This leads to the introduction of a new notion of linguistic fuzzy domination and linguistic Nash equilibrium.
引用
收藏
页码:28 / 57
页数:30
相关论文
共 21 条
[1]   Fuzzy decision making in politics: A linguistic fuzzy-set approach (LFSA) [J].
Arfi, B .
POLITICAL ANALYSIS, 2005, 13 (01) :23-56
[2]  
Billot A., 1992, Economic Theory of Fuzzy Equilibria: An Axiomatic Analysis
[3]   A fuzzy approach to the prisoner's dilemma [J].
Borges, PSS ;
Pacheco, RCS ;
Barcia, RM ;
Khator, SK .
BIOSYSTEMS, 1997, 41 (02) :127-137
[4]  
Brown Michael E., 2000, Rational Choice and Security Studies: Stephen Walt and His Critics
[5]  
Butnariu D., 1978, Fuzzy Sets and Systems, V1, P181, DOI 10.1016/0165-0114(78)90003-9
[6]   Fuzzy utility and equilibria [J].
De Wilde, P .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2004, 34 (04) :1774-1785
[7]   Aggregation operators for linguistic weighted information [J].
Herrera, F ;
Herrera-Viedma, E .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 1997, 27 (05) :646-656
[8]   Linguistic decision analysis: steps for solving decision problems under linguistic information [J].
Herrera, F ;
Herrera-Viedma, E .
FUZZY SETS AND SYSTEMS, 2000, 115 (01) :67-82
[9]  
HEYTING A, 1971, INTUITIONALISM INTRO
[10]   An algebraic approach to linguistic hedges in Zadeh's fuzzy logic [J].
Ho, NC ;
Nam, HV .
FUZZY SETS AND SYSTEMS, 2002, 129 (02) :229-254