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Bipolarity in Decision Analysis: A Way to Cope with Human Judgment

Bipolarity in Decision Analysis: A Way to Cope with Human Judgment

Ayeley P. Tchangani
Copyright: © 2014 |Pages: 29
ISBN13: 9781466647855|ISBN10: 146664785X|EISBN13: 9781466647862
DOI: 10.4018/978-1-4666-4785-5.ch012
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MLA

Tchangani, Ayeley P. "Bipolarity in Decision Analysis: A Way to Cope with Human Judgment." Exploring Innovative and Successful Applications of Soft Computing, edited by Antonio D. Masegosa, et al., IGI Global, 2014, pp. 216-244. https://doi.org/10.4018/978-1-4666-4785-5.ch012

APA

Tchangani, A. P. (2014). Bipolarity in Decision Analysis: A Way to Cope with Human Judgment. In A. Masegosa, P. Villacorta, C. Cruz-Corona, M. García-Cascales, M. Lamata, & J. Verdegay (Eds.), Exploring Innovative and Successful Applications of Soft Computing (pp. 216-244). IGI Global. https://doi.org/10.4018/978-1-4666-4785-5.ch012

Chicago

Tchangani, Ayeley P. "Bipolarity in Decision Analysis: A Way to Cope with Human Judgment." In Exploring Innovative and Successful Applications of Soft Computing, edited by Antonio D. Masegosa, et al., 216-244. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-4785-5.ch012

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Abstract

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.

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