JOURNAL ARTICLE

Multi criteria decision making with Evidential Reasoning under uncertainty

Abstract

Many decision problems have more than one objective that need to be dealt with simultaneously. Moreover, because of the qualitative nature of the most of real world problem it is an inevitable activity and very important to interpret and present the uncertain information for making effective decision. The Evidential Reasoning (ER) approach which is one of the latest development within multi criteria decision making (MCDM) seems to be the best fit to synthesize both qualitative and quantitative data under uncertainty. To support this claim, two case studies were tested to illustrate the application of ER for prioritization and ranking of decision alternative to support decision process even with uncertain information. The importance of having a better structured decision process is essential for the success of any organization, so it can be applied widely in most of real world problem dealing with making effective decision.

Keywords:
Evidential reasoning approach Computer science Ranking (information retrieval) Decision engineering Decision analysis Multiple-criteria decision analysis Process (computing) Decision support system Management science Business decision mapping R-CAST Decision-making Qualitative reasoning Influence diagram Prioritization Artificial intelligence Decision tree Operations research Mathematics Engineering

Metrics

4
Cited By
0.60
FWCI (Field Weighted Citation Impact)
10
Refs
0.81
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Multi-Criteria Decision Making
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Optimization and Mathematical Programming
Physical Sciences →  Engineering →  Control and Systems Engineering
Forecasting Techniques and Applications
Social Sciences →  Decision Sciences →  Management Science and Operations Research

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