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Proceedings Paper

Linguistic Uncertainty Calculations In Multi-Criteria Decision Making
Author(s): Sunil U. Mohandas; James M. Keller
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Paper Abstract

Uncertainty in Multi-Criteria Decision Making (MCDM) arises due to the inability in synergistically combining effects of various attributes of the process. An expert is invariably needed to judge the approximate influence in decision making and a decision is often made by considering an aggregate of approximate influence of all attributes. An approach is proposed to model the process of decision making where approximate "influence" of an attribute along with its severity are specified in terms of fuzzy linguistic variables. An algorithm which uses fuzzy arithmetic to combine effects of various attributes is proposed along with a decision scheme based on fuzzy prototypes. The approach will be useful in situations where decision making involves a simultaneous consideration of many non-interactive attributes.

Paper Details

Date Published: 1 March 1990
PDF: 8 pages
Proc. SPIE 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques, (1 March 1990); doi: 10.1117/12.969777
Show Author Affiliations
Sunil U. Mohandas, University of Missouri-Columbia (United States)
James M. Keller, University of Missouri-Columbia (United States)


Published in SPIE Proceedings Vol. 1192:
Intelligent Robots and Computer Vision VIII: Algorithms and Techniques
David P. Casasent, Editor(s)

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