Cost-Benefit Analysis and the Theory of Fuzzy Decisions

The genus of definitions for the theoretical sciences is (the province of) the habitus of the intellective intention, for the practical sciences, however, that of the effective intention; the objects and ends constitute the specific differ ence There is nothing in the intellect that has not already been in the senses, that is, in the sensory organs, that has not already been in sensible things from which are distinguished things not perceptible to the senses. Nothing can be of the mind, sensation and the thing inferred therefrom except the operation itself. Real learning is cognition of things in themselves. It thus has the basis of its certainty in the known thing. This is established in two ways: by demon stration in the case of contemplative things, and by induction in the case of things perceptible to the senses. In contrast with real learning there is pos sible, probable and fictive learning. Antonius Gvilielmus Amo Afer (1827) This research has been long in the making. Its conception began in my last years in the doctoral program at Temple University, Philadelphia, Pa. It was simultaneously conceived with my two books on the Neo Keynesian Theory of Optimal aggregate investment and output dynamics [201] [202] as well as reflections on the methodology of decision-choice rationality and development economics [440] [441]. Economic theories and social policies were viewed to have, among other things, one impor tant thing in common in that they relate to decision making under different.

Makes the framework of cost-benefit analysis comprehensively applicable across scholarly and professional disciplines Includes supplementary material: sn.pub/extras

Klappentext

This monograph is devoted to the identification and measurement theory of costs and benefits in a fuzzy information environment. The process of cost-benefit analysis is presented, requiring the development of real cost-benefit databases and the construction of cost-benefit criterion. These steps are accomplished with various theoretical constructs that provide sets of self-contained algorithms for application. This book integrates cost-benefit analysis, theory of fuzzy decisions and social decisions into unified decision algorithms accessible to practitioners, researchers, and graduate students. It features the essentials of fuzzy mathematics and algorithms in a comprehensive way, exposing a multi-disciplinary approach for the development of cost-benefit decision making in the framework of fuzziness and soft computing.

Inhalt
1 Decision, Cost and Benefit.- 2 The Theory of Computable Cost-Benefit Identification Matrices.- 3 The Theory of Social Cost and Costing.- 4 The Theory of Social Benefits and Benefit Accounting.- 5 Essential Mathematics for Fuzzy Decision Processes.- 6 The Basic Theory of Fuzzy Decisions.- References.- On Aggregation, Distributional Weights, and Rankings.- On Economic Analysis, Benefits and Benefit Accounting.- On Economic Analysis, Costs and Costing.- On Accounting Theory.- On Economic Analysis, Cost-Benefit, and Investment Criteria I.- On Economic Analysis, Cost-Benefit and Investment Criteria II.- On Economic Analysis, Shadow Prices and Efficient Pricing.- On Economic Analysis and Social Rate of Discount.- On Economics and Social Choice.- On Economic and General Cost-Benefit Analysis: Contingent Valuation Method (CVM).- On Economic and General Cost-Benefit Analysis: Revealed Preference Approach (RPA).- On Fuzzy Decisions.- On Fuzzy Decisions and Some Applications.- On Fuzzy Decisions, Risks, Games and Economic Analysis.- On Fuzzy Logic.- On Fuzzy Mathematical Programming and the Theory of Fuzzy Optimization.- On Fuzzy Mathematics.- On Fuzzy Probability, Possibility and Statistics.