Cost-Benefit Analysis and the Theory of Fuzzy Decisions: by Kofi Kissi Dompere

By Kofi Kissi Dompere

This monograph is dedicated to the advance of price thought of computable normal costs in cost-benefit research below fuzzy rationality. The booklet demonstrates using fuzzy selection algorithms and common sense to increase a accomplished and multidisciplinary cost-benefit research by way of making the most of present medical earnings in fuzziness and tender computing. the speculation is constructed at a simple point of microeconomics resulting in aggregation in fuzzy choice surroundings composed of subjective phenomenon, imprecision, approximations and difficulties of data elicitation. The e-book integrates the theories of computable costs, fuzzy judgements and social decision-choice tactics right into a set of choice algorithms obtainable to practitioners, researchers, graduate scholars, and coverage makers in economics, engineering, in addition to actual, social, and clinical sciences. It brings into concentration the bushy mathematical theories of computable equilibrium costs, social expense and cost-benefit criterion on either micro and combination degrees and the way they relate to printed choice, contingent valuation and hedonic pricing equipment. also the monograph covers computational difficulties of optimum taxation, cost-benefit distributions, social goal-objective formation and rent-seeking actions as fuzzy approaches.

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Extra info for Cost-Benefit Analysis and the Theory of Fuzzy Decisions: Fuzzy Value Theory

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The consumer surd plus in the above diagram is Ap 0 p max and total output increase is Q O . 1) But total consumer surplus, d Q0 pmax  p0 / 2 CS and hence eqn. 2b) where 'p is the price change and p 0 is the new equilibrium price. The change in price 'p depends on both elasticities of demand and supply and the magnitude of the benefit (output) characteristic. If the quantity of the benefit characteristic in question is very large relative to the market then we can approximate the price change, 'p as a proportion, X , of the original price where the proportion depends on the percentage of the market size, and the difference between supply and demand elasticities, H s and H d respectively.

7). 2) where P1 < is an inverse membership function such that P1 : > 0,1@ o  The value of net unit fuzzy consumer surplus will depend on the shapes of the individual membership characteristic functions P < de- fined over the price set,  , and the nature of the fuzzy aggregation used to construct the collective decision. 4 Revealed Preference Method (RPM) for Social Price Computation 41 rium values of the membership functions. 4) j j where › is a max-operator and TˆC is the total consumer surplus.

One of such methods is fuzzy aggregation of subjective and imprecise information which are, the major characteristics of all data sets constructed from elicited values. The price system may also be constructed from fuzzy utilities while keeping in mind Lancaster's variety and characteristics approach [468] [469]. At least a reasonable case is made for constructing and advancing the theory of fuzzy prices. This case is further strengthened by a need for a general framework of pricing that will include value assessments of life, limb, cost-benefit characteristics of regulatory alternatives and many other non-tradables such as air quality and variety of safety characteristics.

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