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Analytic hierarchy process and technique for order preference by similarity to ideal solution: a bibliometric analysis from past, present and future of AHP and TOPSIS

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  • MUKHERJEE, KRISHNENDU

Abstract

Previous review papers on analytic hierarchy process (AHP) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) mainly focused on the application areas and paid scant attention to the framework development of AHP, TOPSIS and their hybrid methods. The purpose of this paper is to review the literature on analytic hierarchy process (AHP), type of scale used in AHP, modified AHP, rank reversal problem of AHP, validation of AHP, application of AHP, TOPSIS, normalization methods for TOPSIS, distance functions for TOPSIS, fuzzy hierarchical TOPSIS, rank reversal problem of TOPSIS and various applications of TOPSIS to prepare a readymade reference for academician, research scholar and industry people. In this regard, research works are gathered from 1980 to 2013 (searched via ScienceDirect, IEEE etc) and out of which 61 research papers are critically assayed to depict the development of AHP, TOPSIS and their hybrid methods. Meaningful information and critical remarks are summarized in various tabular formats and charts to give readers easy information.

Suggested Citation

  • Mukherjee, Krishnendu, 2014. "Analytic hierarchy process and technique for order preference by similarity to ideal solution: a bibliometric analysis from past, present and future of AHP and TOPSIS," MPRA Paper 59887, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:59887
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    References listed on IDEAS

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    1. Dong, Yucheng & Xu, Yinfeng & Li, Hongyi & Dai, Min, 2008. "A comparative study of the numerical scales and the prioritization methods in AHP," European Journal of Operational Research, Elsevier, vol. 186(1), pages 229-242, April.
    2. P. Shim, Jung., 1989. "Bibliographical research on the Analytic Hierarchy Process (AHP)," Socio-Economic Planning Sciences, Elsevier, vol. 23(3), pages 161-167.
    3. Qureshi, M. E. & Harrison, S. R. & Wegener, M. K., 1999. "Validation of multicriteria analysis models," Agricultural Systems, Elsevier, vol. 62(2), pages 105-116, November.
    4. Xia, Weijun & Wu, Zhiming, 2007. "Supplier selection with multiple criteria in volume discount environments," Omega, Elsevier, vol. 35(5), pages 494-504, October.
    5. Saaty, Thomas L & Vargas, Luis G, 1984. "The legitimacy of rank reversal," Omega, Elsevier, vol. 12(5), pages 513-516.
    6. Belton, Valerie & Gear, Tony, 1985. "The legitimacy of rank reversal--A comment," Omega, Elsevier, vol. 13(3), pages 143-144.
    7. Saaty, Thomas L., 1990. "Eigenvector and logarithmic least squares," European Journal of Operational Research, Elsevier, vol. 48(1), pages 156-160, September.
    8. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    9. Zanakis, Stelios H. & Solomon, Anthony & Wishart, Nicole & Dublish, Sandipa, 1998. "Multi-attribute decision making: A simulation comparison of select methods," European Journal of Operational Research, Elsevier, vol. 107(3), pages 507-529, June.
    10. Mukherjee, Krishnendu & Sarkar, Bijon & Bhattacharyya, Ardhendu, 2012. "Supplier selection by F-compromise method: a case study of cement industry of NE India," MPRA Paper 57786, University Library of Munich, Germany, revised 2013.
    11. Beynon, Malcolm, 2002. "An analysis of distributions of priority values from alternative comparison scales within AHP," European Journal of Operational Research, Elsevier, vol. 140(1), pages 104-117, July.
    12. Saaty, Thomas L., 1994. "Highlights and critical points in the theory and application of the Analytic Hierarchy Process," European Journal of Operational Research, Elsevier, vol. 74(3), pages 426-447, May.
    13. Guitouni, Adel & Martel, Jean-Marc, 1998. "Tentative guidelines to help choosing an appropriate MCDA method," European Journal of Operational Research, Elsevier, vol. 109(2), pages 501-521, September.
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    More about this item

    Keywords

    AHP; TOPSIS; Fuzzy Hierarchical TOPSIS; Normalization methods; Rank reversal problem; Review.;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling

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