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Bipolarity in decision analysis

Tchangani, Ayeley Bipolarity in decision analysis. (2014) In: Exploring Innovative and Successful Applications of Soft Computing. IGI Global, 216-244. ISBN 9781466647855

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Official URL: https://doi.org/10.4018/978-1-4666-4785-5.ch012


Decision analysis, the mechanism by which a final decision is reached in terms of choice (choosing an alternative or a subset of alternatives from a large set of alternatives), ranking (ranking alternatives of a set from the worst to the best), classification (assigning alternatives to some known classes or categories), or sorting (clustering alternatives to form homogeneous classes or categories) is certainly the most pervasive human activity. Some decisions are made routinely and do not need sophisticated algorithms to support decision analysis process whereas other decisions need more or less complex processes to reach a final decision. Methods and models developed to solve decision analysis problems are in constant evolution going from mechanist models of operational research to more sophisticated and soft computing-oriented models that attempt to integrate human attitude (emotion, affect, fear, egoism, altruism, selfishness, etc.). This complex, soft computing and near human mechanism of problem solving is rendered possible thanks to the overwhelming computational power and data storage possibility of modern computers. The purpose of this chapter is to present new and recent developments in decision analysis that attempt to integrate human judgment through bipolarity notion.

Item Type:Book Section
Additional Information:Diffusion non autorisée par l'éditeur : https://www.igi-global.com/gateway/terms-and-conditions/
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Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
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Deposited On:22 Oct 2019 09:41

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