A characterization of the min ranking method for valued preference relations

نویسنده

  • Denis Bouyssou
چکیده

This paper deals with the problem of ranking several alternatives on the basis of a valued preference relation. We present a system of axioms which is shown to characterize a ranking method based on the Min operator that has been introduced in the literature. IIntroduction In order to compare a number of alternatives taking into account several criteria, many aggregation methods (e.g. ELECTRE III, Roy (1978) or PROMETHEE, Brans et al. (1984)) associate with each ordered pair (a, b) of alternatives a number indicating the strength or the credibility of a proposition such as: "a is preferred to b", e.g. the sum of the weights of the criteria for which a is preferred to b. At least since Condorcet, we know that, when the different criteria taken into account are conflictual, it may not be easy to compare the alternatives on the basis of these numbers. Many methods can be envisaged to rank alternatives on the basis of such information. In order to compare these methods we may study their behavior with regards to a number of "desirable" properties (see, e.g., Vincke (1991)). Alternatively, we may try to find a set of properties that would characterize a particular method, i.e. a set of properties that is satisfied by a unique method. Following Bouyssou (1991), this is the route followed in this paper in which we study and characterize the Min Method which ranks alternatives on the basis of the minimum credibility to which an alternative is preferred to all the others. After having introduced our definitions and notations in section 2, we present, in section 3, a number of "reasonable" properties of ranking methods and show in section 4 that the Min Method is the only ranking method satisfying all of them. An alternative characterization of the Min Method has been obtained by Pirlot (1991). II-Definitions and Notations Let A be a finite set of objects called "alternatives" such that |A| = n ≥ 2.We define a valued (binary) relation on A as a function R associating with each ordered pair of alternatives (a, b) ∈ A2 with a ≠ b an element of [0, 1]. Let R(A) be the set of all valued relations on A. A crisp (binary) relation S on A is a subset of A2. We will write a S b instead of (a, b) ∈ S. A crisp relation S on A is complete if for all a, b ∈ A either a S b or b S a. It is transitive if for all a, b, c ∈ A, a S b and b S c imply a S c. A complete and transitive crisp relation will be called a ranking. We define a ranking method ≥ as a function associating a ranking ≥(R) on A to any valued relation R on A.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

INCOMPLETE INTERVAL-VALUED HESITANT FUZZY PREFERENCE RELATIONS IN DECISION MAKING

In this article, we propose a method to deal with incomplete interval-valuedhesitant fuzzy preference relations. For this purpose, an additivetransitivity inspired technique for interval-valued hesitant fuzzypreference relations is formulated which assists in estimating missingpreferences. First of all, we introduce a condition for decision makersproviding incomplete information. Decision maker...

متن کامل

A Quadratic Programming Method for Ranking Alternatives Based on Multiplicative and Fuzzy Preference Relations

This paper proposes a quadratic programming method (QPM) for ranking alternatives based on multiplicative preference relations (MPRs) and fuzzy preference relations (FPRs). The proposed QPM can be used for deriving a ranking from either a MPR or a FPR, or a group of MPRs, or a group of FPRs, or their mixtures. The proposed approach is tested and examined with two numerical examples, and compara...

متن کامل

Ranking triangular interval-valued fuzzy numbers based on the relative preference relation

In this paper, we first use a fuzzy preference relation with a membership function representing preference degree forcomparing two interval-valued fuzzy numbers and then utilize a relative preference relation improved from the fuzzypreference relation to rank a set of interval-valued fuzzy numbers. Since the fuzzy preference relation is a total orderingrelation that satisfies reciprocal and tra...

متن کامل

UNCERTAINTY DATA CREATING INTERVAL-VALUED FUZZY RELATION IN DECISION MAKING MODEL WITH GENERAL PREFERENCE STRUCTURE

The paper introduces a new approach to preference structure, where from a weak preference relation derive the following relations:strict preference, indifference and incomparability, which by aggregations and negations are created and examined. We decomposing a preference relation into a strict preference, anindifference, and an incomparability relation.This approach allows one to quantify diff...

متن کامل

CREDIBILITY THEORY ORIENTED PREFERENCE INDEX FOR RANKING FUZZY NUMBERS

This paper suggests  a novel approach for ranking the most applicable fuzzy numbers, i.e.  $LR$-fuzzy numbers. Applying the  $alpha$-optimistic values of a fuzzy number, a preference criterion is proposed for ranking fuzzy numbers using the Credibility index. The main properties of the proposed  preference criterion  are also studied.  Moreover, the proposed method is   applied for ranking fuzz...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007