Fuzzy Sets and Economics: Applications of Fuzzy Mathematics to Non-cooperative Oligopoly
Fuzzy Sets and Economics presents a clear and concise introduction to fuzzy mathematics and demonstrates its adaptability to the analysis of oligopolistic competition. In particular, the author indicates how the economic evaluation of non-cooperative olig
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a—cut adjusted analysis approximate assigned cent chaos theory Chapter confidence interval conjectural uncertainty cost curves Cournot crisp number decision maker defined demand curve demonstrated describe determined deterministic discount divergence dynamic economic efficient element energy entrepreneur entropy entry equal equation estimates example exist exit extension principle factors Figure firm F firm's fixed point fuzzy math fuzzy number fuzzy set theory Greenhut homogeneous product indifference curve inefficient inputs interdependence intersection long run long—run equilibrium marginal costs market demand market rivals mathematics membership function membership grade monopolistic neo—classical numeraire obtain oligopolistic competition oligopolistic industries oligopoly market oligopoly theory opportunity cost output level path payoff possibility distribution present presumption level product differentiation profit maximizing random rate of return represents respectively revenue run equilibrium set mathematics short run similar products slope stable subjective tall tangency technical costs triplet upper bound utilized vague variable imputation