In this work we present a construction method for interval-valued fuzzy preference relations from a fuzzy preference relation and the representation of the lack of knowledge or ignorance that experts suffer when they define the membership values of the elements of that fuzzy preference relation. We also prove that, with this construction method, we obtain membership intervals for an element whi...

In this paper we present a method based on preference relations for transforming non–crisp (qualitative) relationships between objectives in multi–objective optimisation into quantitative attributes (i.e. numbers). This is integrated with two multi–objective Genetic Algorithms: weighted sums GA and a method for combining the Pareto method with weights. Examples of preference relations applicati...

Software requirements (SRs) selection is a multicriteria group decision making (MCGDM) problem whose objective to select the SRs from pool of on basis different criteria. In MCGDM, makers have opinions same requirement so it difficult decide which set implement during releases software. During MCGDM process, may use linguistic variables specify preferences over other requirements. real life app...

A multiperson decision-making problem, where the information about the alternatives provided by the experts can be presented by means of di€erent preference representation structures (preference orderings, utility functions and multiplicative preference relations) is studied. Assuming the multiplicative preference relation as the uniform element of the preference representation, a multiplicativ...

Rodents exhibit two well-documented behavioural lateralities: spatial preference and paw preference. Waters and Denenberg [36] have identified two seemingly independent factors of paw preference: medial and lateral paw preference. In the present work, the relations among spatial preference (SP), medial paw preference (MPP), and lateral paw preference (LPP) during states of high and low arousal ...

This paper pursues the idea of a general multiobjective optimizer that can be flexibly adapted to arbitrary user preferences— assuming that the goal is to approximate the Pareto-optimal set. It proposes the Set Preference Algorithm for Multiobjective Optimization (SPAM) the working principle of which is based on two observations: (i) current multiobjective evolutionary algorithms (MOEAs) can be...

Preference relations can provide a more realistic model of random phenomena than quantita­ tive probability or belief functions. In order to use preference relations for reasoning under un­ certainty, it is necessary to perform sequential and parallel combinations of propagated infor­ mation in a qualitative inference network. This paper discusses the rules for such sequential and parallel comb...

We study in this paper a class of preference relations on two distinct vector spaces representing two production choice spaces by introducing a comparison theorem for stochastic differential equations driven by a semimartingale. Some sufficient conditions on production choices which are budget-constrained by commodity prices are proposed. Key–Words:stochastic differential equations, comparison ...

A multiperson decision-making problem, where the information about the alternatives provided by the experts can be presented by means of di€erent preference representation structures (preference orderings, utility functions and multiplicative preference relations) is studied. Assuming the multiplicative preference relation as the uniform element of the preference representation, a multiplicativ...