Minimal definitions of classical and fuzzy preference structures
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
The major result of this paper is that each of these four sets of fuzzified conditions is equivalent to the definition of a /spl phi/-fuzzy preference structure, which alleviates the mathematical difficulties in manipulating fuzzy preference structures, an important asset in real-world preference modelling.
Abstract
Preference structures are fundamental tools in the theory of preference modelling. They consist of three basic relations: the strict preference relation, the indifference relation and the incomparability relation. The generalization of these crisp structures to the fuzzy case, and consequently the enlargement of the sphere of these structures do more realistic decision-analytic settings, has received considerable attention in recent years. This body of research has in particular led to the cornerstone definition of a one-parameter family of fuzzy preference structures, the phi-fuzzy preference structures. In this paper, we choose to follow a different rode, leading do equivalent -yet more compact -formulations of the same definition. Firstly, rue re-examine the definition of a crisp preference structure and eliminate its redundant components. This reduction leads to four minimal sets of conditions, each of which is equivalent to the definition of a preference structure. Secondly, we generalize these minimal definitions to the fuzzy case in a straightforward way. The major result of this paper is that each of these four sets of fuzzified conditions is equivalent to the definition of a phi-fuzzy preference structure. Hence, they are indeed minimal definitions of a phi-fuzzy preference structure. The minimality of these definitions alleviates the mathematical difficulties in manipulating fuzzy preference structures, an important asset In real-world preference modelling.
