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- W2016816091 abstract "In this essay, we present a logical framework for developing a comprehensive benefit information set for cost-benefit analysis where subjectivity and approximations are some important characteristics of the decision space. The concept of benefit, its components and their relationships to decision and choice are discussed. A benefit space equipped with a measure is presented. This is linked with a computational process through a technique of benefit identification matrices where the benefit space and the society are partitioned into real benefit characteristics and social classes respectively. From the elements in the benefit identification matrix, distributional weights of benefit intensities are computed by the logic of fuzzy decision and mathematical programming leading to a formula for computing total benefit. The method is argued to be compatible with direct assessment (contingent valuation method) and indirect assessment (market revealed approach)." @default.
- W2016816091 created "2016-06-24" @default.
- W2016816091 creator A5074196302 @default.
- W2016816091 date "1997-12-01" @default.
- W2016816091 modified "2023-10-16" @default.
- W2016816091 title "Cost-benefit analysis, benefit accounting and fuzzy decisions. (I) Theory" @default.
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- W2016816091 doi "https://doi.org/10.1016/s0165-0114(96)00180-7" @default.
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