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Dynamic Fuzzy Preference Relations
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), 2007In this paper, we present a class of new preference relations-dynamic fuzzy preference relations in which all the elements are the variables of time, and study some of their desirable properties. We also give a straightforward method for deriving the priority weights of dynamic fuzzy preference relations, and then develop an approach to constructing ...
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Modelling valued preference relations
Proceedings. The Nineteenth International Symposium on Multiple-Valued Logic, 1990A theory of valued weak preference relations is described. The transitivity property of a strict preference relation and an indifference relation associated with a weak preference relation are established. The model presented is based on Lukasiewicz-like multiple-valued logic; it uses triangular norms with zero divisors. A similar approach works in the
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Arguing with Valued Preference Relations
2011Dung's argumentation is based on a Boolean binary defeat relation. Recently, this framework has been extended in order to consider the strength of the defeat relation, i.e., to quantify the degree to which an argument defeats another one. In the extended framework, the defeat relation with varied strength is abstract, i.e., its origin is not known.
Souhila Kaci, Christophe Labreuche
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Are ambiguity preferences related to risk preferences?
2023Decisions under risk and ambiguity are frequently encountered nowadays, and associated preferences are frequently quantified. This article deals with the relationship between individuals’ preferences towards risk and ambiguity. In particular, we question the correlation of the preferences and their alignment.
Boun My, Kene +3 more
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Rough approximation of a preference relation by dominance relations
European Journal of Operational Research, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Salvatore Greco +2 more
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An Algebraic Approach to Preference Relations
2011We define a class of structures - preference algebras - such that properties of preference relations can be expressed with their operations. We prove a discrete duality between preference algebras and preference relational structures.
Ivo Düntsch, Ewa Orlowska
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Proceedings of the first international joint conference on Autonomous agents and multiagent systems part 3 - AAMAS '02, 2002
In traditional preference modeling approaches, agents can express preferences among a pair of alternatives in three distinct ways: either an agent has a strict preference of one alternative compared to the other, or is indifferent between both alternatives, or considers the two alternatives as incomparable. These three preference relations are disjunct,
Peyman Faratin, Bartel A. Van de Walle
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In traditional preference modeling approaches, agents can express preferences among a pair of alternatives in three distinct ways: either an agent has a strict preference of one alternative compared to the other, or is indifferent between both alternatives, or considers the two alternatives as incomparable. These three preference relations are disjunct,
Peyman Faratin, Bartel A. Van de Walle
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Spatial preference in relation to curriculum
2022Educational buildings present complex layouts due to their programs, functional schemes, strict demarcation or uncertainty of circulation routes, and social spaces, especially if the building is a transformed one with various university-level disciplines packed together.
Pektetik, U., Edgü, Erincik
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Intransitive Preference Relations and Preference Differences
1997Aggregation of preference relations by solving a certain optimization problem results in a collective preference which generalizes the majority preference in a natural way (Lemma 2.2). If the optimal preference relation is not required to be necessarily transitive, a cardinal evaluation of the alternatives can be given which allows a one-way cardinal ...
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Optimization and nontransitive preference-relations
Mathematische Operationsforschung und Statistik. Series Optimization, 1984A good deal of the global theory of optimization can be formulated without the concepts of function and linear space. Even the transitivity of the preference relation is not necessary. In this paper we show that the proofs work also without these concepts and under very weak additional assumptions.
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