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Validating fuzzy decision model using risk and confidence analysis

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1 Author(s)
Zamali Tarmudi ; Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (Sabah Branch), Locked Bag 71, 88997 Kota Kinabalu, Sabah, Malaysia

This paper proposes two validation analyses, namely the risk attitudes and level of confidence for fuzzy multi-criteria decision-making model. Risk attitudes are employed to test the outcomes in dealing with the different decision maker's attitude towards risk and uncertainty. Conversely, confidence analysis are used to test how confidence (i.e., pessimistic, moderate, optimistic, etc.) decision makers make a decision which respect to the difference situation and condition. A case study related to the municipal solid waste disposal decision in the state of Selangor and Kuala Lumpur Federal Territory was used to demonstrate the feasibility of the proposed analysis. The result shows that the proposed analysis can improve the relevance and acceptability of the model. Thus, more confident decision and better solution can be derived concurrently in decision-making process.

Published in:

Computer Applications and Industrial Electronics (ISCAIE), 2012 IEEE Symposium on

Date of Conference:

3-4 Dec. 2012