Linguistic Uncertainty Calculations In Multi-Criteria Decision Making

Sunil U. Mohandas; James M. Keller

doi:10.1117/12.969777

1 March 1990 Linguistic Uncertainty Calculations In Multi-Criteria Decision Making

Sunil U. Mohandas, James M. Keller

Proceedings Volume 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques; (1990) https://doi.org/10.1117/12.969777
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

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.

Citation Download Citation

Sunil U. Mohandas and James M. Keller "Linguistic Uncertainty Calculations In Multi-Criteria Decision Making", Proc. SPIE 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques, (1 March 1990); https://doi.org/10.1117/12.969777

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