Preference Relations and MCDM

Multicriteria decision aid is above all a human activity in which value judgements of involved actors play a crucial role. Therefore, “how to represent such judgements?” is a key question in MCDM. This chapter is devoted to this subject. Depending on the particular paradigm adopted for preference modelling, different questioning procedures can be conceived which lead to different preference structures. We present a few questioning procedures related to three basic paradigms, together with some preference structures that are useful for MCDM. First, the classical preference-indifference structure is discussed, followed by the introduction of the ideas of “incomparability” and “hesitation”. Finally, we present some complementary questioning procedures particularly relevant for cardinal modelling of value judgements.

[1]  B. Monjardet Axiomatiques et propri?et?es des quasi-ordres , 1978 .

[2]  F. Roberts Measurement Theory with Applications to Decisionmaking, Utility, and the Social Sciences: Measurement Theory , 1984 .

[3]  Thomas Lengauer Operations Research and Statistics , 1990 .

[4]  E. Szpilrajn Sur l'extension de l'ordre partiel , 1930 .

[5]  C. J. Hearne Non-conventional Preference Relations in Decision Making , 1989 .

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

[7]  Margaret B. Cozzens,et al.  Double Semiorders and Double Indifference Graphs , 1982 .

[8]  Stanton Wheeler,et al.  Law and the Social Sciences , 1988 .

[9]  Patrice Perny,et al.  Fuzzy preference modeling , 1999 .

[10]  Marc Roubens,et al.  Advances in decision analysis , 1999 .

[11]  C. B. E. Costa,et al.  MACBETH — An Interactive Path Towards the Construction of Cardinal Value Functions , 1994 .

[12]  P. Vincke,et al.  Biorder families, valued relations and preference modelling , 1986 .

[13]  A. Tsoukiàs,et al.  A new axiomatic foundation of partial comparability , 1995 .

[14]  E. W. Adams,et al.  Elements of a Theory of Inexact Measurement , 1965, Philosophy of Science.

[15]  Fred S. Roberts,et al.  Homogeneous families of semiorders and the theory of probabilistic consistency , 1971 .

[16]  B. Roy THE OUTRANKING APPROACH AND THE FOUNDATIONS OF ELECTRE METHODS , 1991 .

[17]  Alexis Tsoukiàs,et al.  Extended Preference Structures in MultiCriteria Decision Aid , 1997 .

[18]  P. Fishburn Binary choice probabilities: on the varieties of stochastic transitivity , 1973 .

[19]  R. Słowiński Fuzzy sets in decision analysis, operations research and statistics , 1999 .

[20]  Carlos A. Bana e Costa,et al.  The MACBETH Approach: Basic Ideas, Software, and an Application , 1999 .

[21]  C. B. E. Costa,et al.  A Theoretical Framework for Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) , 1997 .

[22]  Philippe Vincke,et al.  {P, Q, I, J} - preference structures , 2000 .

[23]  P. Vincke,et al.  Pseudo-orders: Definition, properties and numerical representation , 1987 .

[24]  Peter C. Fishburn,et al.  Utility theory for decision making , 1970 .

[25]  A. Tversky,et al.  Foundations of Measurement, Vol. I: Additive and Polynomial Representations , 1991 .

[26]  Jean-Paul Doignon,et al.  Threshold representations of multiple semiorders , 1987 .