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Perluasan Proses Hierarki Analisis Kabur untuk Keputusan Multi-Kriterium(Fuzzy Analytic Hierarchy Process-Extention for Multi-Criteria Decision)

Zamali Tarmudi, and Abu Osman Md Tap, (2011) Perluasan Proses Hierarki Analisis Kabur untuk Keputusan Multi-Kriterium(Fuzzy Analytic Hierarchy Process-Extention for Multi-Criteria Decision). Journal of Quality Measurement and Analysis (JQMA), 7 (2). pp. 135-144. ISSN 1823-5670

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Official URL: http://www.ukm.my/ppsmfst/jqma/

Affiliations

Universiti Teknologi MARA. Faculty of Computer Science and Mathematics
Universiti Islam Antarabangsa Malaysia. Kuliyyah of Information Communication and Technology

Abstract

Dalam makalah ini dibincangkan kaedah perluasan proses hierarki analisis yang diterapkan dalam teori set kabur bagi tujuan menyelesaikan masalah pembuat keputusan multi-kriterium. Kaedah ini digunakan untuk mengatasi masalah kekaburan data masukan awal menggunakan pendekatan darjah keahlian. Kelebihan ini digunakan melalui penggunaan contoh andaian dalam pemilihan sistem pelupusan sisa perbandaran. Hasil pengiraan menunjukkan penggunaannya mudah dan mampu meminimumkan data masukan yang bersifat kualitatif, sekali gus dapat menangani masalah pembuat keputusan multi-kriterium dengan lebih berkesan. Di samping itu, pendekatan ini juga dilihat dapat memberi kaedah alternatif untuk menyelesaikan masalah pembuat keputusan multi-kriterium.

[This paper discusses an extension of analytic hierarchy process which adopted in fuzzy set theory for multi-criteria decision-making purposes. This method is utilised to overcome the initial of input data-sets problem using the concept of membership degree. The advantage of proposed approach is applied through the hypothetical example of municipal solid waste decision-making problems. Based on the calculations, it shows that the approach is user friendly, enables to minimise the initial of input data-sets and very efficient in terms of problem solving approach. Besides that, it’s beneficial as an alternative approach for solving multi-criteria decision-making problem.]

Item Type:Journal
Keywords:Pembuat keputusan multi-kriterium; perluasan proses hierarki analisis (PHA); set kabur, Multi-criteria decision-making; analytic hierarchy process-extension; fuzzy sets
Subjects:Q Science, Computer Science
ID Code:12264

Bozbura F.T., Beskese A. & Kahraman C. 2007. Prioritization of human capital measurement indicators using fuzzy AHP. Expert Systems with Applications, 32: 1100-1112.

Buckley J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17: 233-247.

Chang F.T.S. & Kumar N. 2007. Global supplier development considering risk factors using fuzzy extended AHP-based approach. Omega, 35: 417-431.

Chang D.Y. 1996. Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95: 649-655.

Deng H. 1999. Multicriteria analysis with fuzzy pairwise comparison. International Journal of Approximate Reasoning, 21: 215-231.

Hwang C. & Yoon K. 1981. Multiple Attribute Decision Making: Methods and Application. New York: Springer

Kaufmann A. & Gupta M.M. 1991. Introduction to Fuzzy Arithmetic and Applications. New York: Van Nostrand Rienhold.

Kreng V.B. & Wu C.Y. 2007. Evaluation of knowledge portal development tools using a fuzzy AHP approach: The case of Taiwanese stone industry. European Journal of Operational Research 176: 1795-1810.

Kulak O. & Kahraman C. 2005. Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process. Information Sciences, 170: 191-210.

Kulak O., Kahraman C., Oztaysi B. & Tanyas M. 2005. Multi-attribute information technology project selection using fuzzy axiomatic design. The Journal of Enterprise Information Management, 18(3): 275-288.

Kuo M.-S. & Liang G.-S. 2012. A soft computing method of performance evaluation with MCDM based on interval valued fuzzy numbers. Applied Soft Computing, 12(1): 476-485.

Noguchi H., Ogawa M. & Ishii H. 2002. The appropriate total ranking method using DEA for multiple categorized purposes. Journal of Computational and Applied Mathematics, 146: 155-166.

Paulson D. & Zahir S. 1995. Consequences of uncertainty in the analytical hierarchy process: A simulation approach. European Journal of Operational Research, 87: 45-56.

Saaty T.L. 1980. The Analytic Hierarchy Process. New York, NY: McGraw-Hill.

Saaty T.L. 1996. Decision Making with Dependence and Feedback: The Analytical Network Process. Pittsburgh, PA: RWS Publication

Suh N.P. 1990. The Principles of Design. New York, NY: Oxford University Press.

Tseng M.-L. 2011. Using hybrid MCDM to evaluate the service quality expectation in linguistic preference. Applied Soft Computing, 11(8): 4551-4562.

Van Laarhoven P.J.M. & Pedrycz W. 1983. A fuzzy extension of Saaty’s priority theory. Fuzzy Sets and Systems, 11: 229-241

William H., Xiamei X. & Prasanta K.D. 2010. Multi-criteria decision-making approaches for supplier evaluation ans selection. A literature review. European Journal of Operational Research, 202 (1): 16-24.

Zadeh L.A. 1965. Fuzzy sets. Informat. Control, 8: 338-353.

Zahir S. 1991. Incorporating the uncertainty of decision judgments in the analytical hierarchy process. European Journal of Operational Research, 53: 206-216.

Zhan J., Wu D. & Olson D.L. 2005. The method of grey related analysis to multiple attribute decision making problems with interval numbers. Mathematical and Computer Modelling, 42: 991-998.

Zimmermann H. J. 1991. Fuzzy set theory and its applications. Boston: Kluwer Academic Publishers.

Zimmermann H. J. 1994. Fuzzy set theory- and its applications. Boston: Kluwer Academic Publishers.

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