A Study on Non cooperative Games Under Inexact Environment
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Abstract
The prime intent of this thesis is to narrate the theoretical framework of non-cooperative
newlinegames under several inexact environments and their implementation in reality. Game
newlinetheory has diverse applications in different disciplines, such as business studies, politics,
newlineindustries, economics, computer science, medical science, international relations, etc.
newlineIn reality, due to different parameters, information is gathered in imprecise form. This
newlinephenomenon inspires us to assess the payoffs in different appropriate extensions of fuzzy
newlinesets.
newlineTo the best of our knowledge, there is a lot of work in the fuzzy or the intuitionistic
newlinematrix and bimatrix games. But, in fuzzy games, only the degree of acceptance of the
newlineplayers toward the information are counted while in the intuitionistic fuzzy games, both
newlinethe degree of acceptance and the degree of non-acceptance of the players toward the
newlineinformation are collected. But these two extensions of matrix games are not sufficient to
newlinecope up with all kind of inadequacies and impreciseness. To cover that gap, we incarnate
newlinea matrix game in the several extensions of hesitant fuzzy background.
newlineIn matrix games, due to lack of information and lack of attention of players toward
newlinethe information, there always exists some hesitancy. Neither fuzzy set nor IFS are sufficient
newlineto describe payoff values. This gap us to imply the concept of hesitant fuzzy sets
newlinein matrix games. The elements of the payoff matrix are represented by triangular hesitant
newlinefuzzy elements. To make the solution we derive two hesitant fuzzy programming
newlineproblems. Applying the score function of hesitant fuzzy elements we transform these
newlinetwo programming problems into two triangular fuzzy non-linear programming problems.
newlineThen we utilize the concept of the Lexicographic method to determine the optimal
newlinestrategies and the value of the game for the players.
newline