On moderate fuzzy analytic hierarchy process pairwise comparison model with sub-criteria
Keywords:
fuzzy moderate AHP, multi-criteria decision making, pairwise comparison model, extent analysis method, fuzzy ideal AHPAbstract
Decisions usually involve getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques. Every decision making can be considered as the choice from the set of alternatives based on a set of criteria. The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision-making problems through pairwise comparisons mode. The weight vectors from this comparison model are obtained by using the extent analysis method. This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.
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Applying the fuzzy analytic hierarchy process to consumer decision-making regarding home stays." International Journal of Advancements in Computing Technology, 2013.(EI) (2013).
Boender, C. G. E., De Graan, J. G., & Lootsma, F. A. (1989). Multi-criteria decision analysis with fuzzy pairwise comparisons. Fuzzy sets and Systems, 29(2), 133-143.
Bozbura, F. T., & Beskese, A. (2007). Prioritization of organizational capital measurement indicators using fuzzy AHP. International Journal of Approximate Reasoning, 44(2), 124-147.
Celik, M., Er, I. D., & Ozok, A. F. (2009). Application of fuzzy extended AHP methodology on shipping registry selection: The case of Turkish maritime industry. Expert Systems with Applications, 36(1), 190-198.
Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European journal of operational research, 95(3), 649-655.
Lin, Y. C. (2010). A study of home-stay demand differences among various home-stay consumption segments. Journal of Sport and Recreation Research, 4(3), 85-105.
Marimuthu, G., Sankaranarayanan, S., & Sivakumar, G. Multicriteria Decision Making Method For Obtaining Crisp Value Under Fuzzy AHP Using α-Cut Based Method.
Marimuthu, M., Arokiasamy, L., & Ismail, M. (2009). Human capital development and its impact on firm performance: Evidence from developmental economics. Journal of international social research, 2(8).
Radhakrishnan, R., & Kalaichelvi, A. Selection of the Best School for the Children-A Decision Making Model using Modified Fuzzy Analytic Hierarchy Process.
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International journal of services sciences, 1(1), 83-98.
Zhu, K. Y., Shang, J., & Yang, S. L. (2012). The triangular fuzzy AHP: fallacy of the popular extent analysis method. Available at SSRN 2078576.
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