Using a Benchmark in Case-Based Multiple-Criteria Ranking

A benchmark-based method is proposed for multiple-criteria ranking, and a case study is presented to demonstrate that the procedure can be efficient and effective in practice. Multiple-criteria ranking aims to help a decision maker (DM) assess a finite set of alternatives according to several criteria, usually conflicting, in order to rank the full set. The relation of benchmarks to multiple-criteria decision analysis is investigated systematically, and then, an approach based on distance from a benchmark is designed to incorporate information about a DM's judgements so as to produce a full ranking. The procedure is applied to rank 81 U.S. brownfield redevelopment projects based on available data and an accepted benchmark.

[1]  Theodor J. Stewart,et al.  An aspiration-level interactive model for multiple criteria decision making , 1992, Comput. Oper. Res..

[2]  Keith W. Hipel,et al.  Multiple-Criteria Sorting Using Case-Based Distance Models With an Application in Water Resources Management , 2007, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[3]  J. Siskos Assessing a set of additive utility functions for multicriteria decision-making , 1982 .

[4]  J. MacQueen Some methods for classification and analysis of multivariate observations , 1967 .

[5]  Marc Despontin,et al.  Multiple Criteria Optimization: Theory, Computation, and Application, Ralph E. Steuer (Ed.). Wiley, Palo Alto, CA (1986) , 1987 .

[6]  R. L. Keeney,et al.  Decisions with Multiple Objectives: Preferences and Value Trade-Offs , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[7]  Behnam Malakooti,et al.  Clustering and group selection of multiple criteria alternatives with application to space-based networks , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[8]  Andrzej P. Wierzbicki,et al.  The Use of Reference Objectives in Multiobjective Optimization , 1979 .

[9]  Abraham Charnes,et al.  Optimal Estimation of Executive Compensation by Linear Programming , 1955 .

[10]  Constantin Zopounidis,et al.  Multicriteria classification and sorting methods: A literature review , 2002, Eur. J. Oper. Res..

[11]  T. Saaty Analytic Hierarchy Process , 2005 .

[12]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[13]  M. Friedman The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance , 1937 .

[14]  Constantin Zopounidis,et al.  Multicriteria Decision Aid Classification Methods , 2002 .

[15]  S French,et al.  Multicriteria Methodology for Decision Aiding , 1996 .

[16]  Keith W. Hipel,et al.  Multiple criteria classification with an application in water resources planning , 2006, Comput. Oper. Res..

[17]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[18]  Yannis Siskos,et al.  Preference disaggregation: 20 years of MCDA experience , 2001, Eur. J. Oper. Res..