Fuzzy AHP and fuzzy TOPSIS integrated multicriteria decision-making scheme employing Chinese environmental esthetics for facility layout design evaluation

Facility layout presents a complex design challenge. It is particularly regarded as a vital issue in Chinese society and throughout Asian countries where Feng Shui, the ancient and revered Chinese practice governing environmental esthetics, has played and continues to play a vital role in man-made design. In this research, the innovative merger of a fuzzy analytic hierarchy process and a fuzzy technique for order preference by similarity to ideal solution integrating a fuzzy multicriteria decision-making methodology is proposed for solving facility layout design evaluation problems. Our research draws on the traditional analytic methodology of the Feng Shui model and employs the proposed scheme for solving an actual office layout design evaluation problem. In a comparison of the results of our investigations, a positive numerical evaluation demonstrates the feasibility and efficiency of the proposed scheme, and suggests its applicability with other MCDM problems.

[1]  Sanghyun Lee Internet-based collaborative design evaluation : an architect's perspective , 1999 .

[2]  J. Buckley,et al.  Fuzzy hierarchical analysis , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[3]  C. Kahraman,et al.  Multi‐criteria supplier selection using fuzzy AHP , 2003 .

[4]  Shigeaki Mabuchi,et al.  An approach to the comparison of fuzzy subsets with an α-cut dependent index , 1988, IEEE Trans. Syst. Man Cybern..

[5]  Richard Bellman,et al.  Decision-making in fuzzy environment , 2012 .

[6]  Wen-Chin Chen,et al.  A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan , 2008, Expert Syst. Appl..

[7]  Taho Yang,et al.  Multiple-attribute decision making methods for plant layout design problem , 2007 .

[8]  Hanif D. Sherali,et al.  Enhanced Model Formulations for Optimal Facility Layout , 2003, Oper. Res..

[9]  Cengiz Kahraman,et al.  Project risk evaluation using a fuzzy analytic hierarchy process: An application to information technology projects , 2006, Int. J. Intell. Syst..

[10]  Ardeshir Mahdavi,et al.  Occupancy implications of spatial, indoor-environmental, and organizational features of office spaces , 2005 .

[11]  Ping-Teng Chang,et al.  Applying fuzzy weighted average approach to evaluate office layouts with Feng-Shui consideration , 2009, Math. Comput. Model..

[12]  C. M. Tam,et al.  Feng Shui and Its Impacts on Land and Property Developments , 1999 .

[13]  James R. Evans Applied production and operations management , 1987 .

[14]  Michael Y. Mak,et al.  The art and science of Feng Shui—a study on architects’ perception , 2005 .

[15]  Hepu Deng,et al.  Multicriteria analysis with fuzzy pairwise comparison , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[16]  George J. Klir,et al.  Fuzzy sets, uncertainty and information , 1988 .

[17]  Alberto G. Canen,et al.  Facility layout overview: towards competitive advantage , 1996 .

[18]  Chen-Tung Chen,et al.  Extensions of the TOPSIS for group decision-making under fuzzy environment , 2000, Fuzzy Sets Syst..

[19]  A. Noorul Haq,et al.  Fuzzy analytical hierarchy process for evaluating and selecting a vendor in a supply chain model , 2006 .

[20]  Malcolm James Beynon,et al.  Application and Development of a Fuzzy Analytic Hierarchy Process within a Capital Investment Study , 2005 .

[21]  Peter R Proudfoot,et al.  The Secret Plan of Canberra , 1994 .

[22]  Hans-Jürgen Zimmermann,et al.  Fuzzy Set Theory - and Its Applications , 1985 .

[23]  Gwo-Hshiung Tzeng,et al.  Combining grey relation and TOPSIS concepts for selecting an expatriate host country , 2004, Math. Comput. Model..

[24]  Jian-Bo Yang,et al.  Multiple Attribute Decision Making , 1998 .