System reliability optimization is often faced with imprecise and conflicting goals such as reducing the cost of the system and improving the reliability of the system. The decision making process becomes fuzzy and multi-objective. In this paper, we formulate the problem as a fuzzy multi-objective nonlinear program (FMOOP). A fuzzy multiobjective genetic algorithm approach (FMGA) is proposed fo...

The purpose of this article is twofold: first to introduce a multi attribute decision making model for radio frequency identification system consisting of four main criteria and five alternatives, and second to develop and solve the proposed fuzzy TOPSIS problem. Author presented an effective fuzzy multi-criteria method based upon the fuzzy model and the concepts of positive ideal and negative ...

We deal with the problem of evaluating and ranking fuzzy quantities. We call fuzzy quantity any non-normal and non-convex fuzzy set, defined as the union of two, or more, generalized fuzzy numbers. For this purpose we suggest an evaluation defined by a pair index based on “value” & “ambiguity”. Either value or ambiguity depend on two parameters connected the first with the optimistic/pessimisti...

Preference modelling and choice theory are common to many di erent areas including operational research, economics, arti cial intelligence and social choice theory. We consider \vague preferences" and introduce a new technique to model this vagueness with the aim of making a choice at the nal stage. Our basic tools of modelling will be fuzzy relations and interval valued fuzzy sets. Speci cally...

We examine the effects of various political campaign activities on voter preferences in the domain of US Presidential elections. We construct a comprehensive data set that covers the three most recent elections, with detailed records of voter preferences at the state-week level over an election period. We include various types of the most frequently utilized marketing instruments: two forms of ...

In many interactive decision making scenarios there is often no solution that satisfies all of the user’s preferences. The decision process can be helped by providing explanations. Relaxations show sets of consistent preferences and, thus, indicate which preferences can be enforced, while exclusion sets show which preferences can be relaxed to obtain a solution. We propose a new approach to exp...

We study a model in which voters choose between two candidates on the basis of both ideology and competence. While the ideology of the candidates is commonly known, voters are imperfectly informed about competence. Voter preferences, however, are such that it is a dominant strategy to vote according to ideology alone. When voting is compulsory, the candidate of the majority ideology prevails an...

We prove that a universal preference type space exists under much more general conditions than those postulated by Epstein and Wang (1996). To wit, it is enough that preferences can be encoded by a countable collection of continuous functionals, while the preferences themselves need not necessarily be continuous or regular, like, e.g., in the case of lexicographic preferences. The proof relies ...

Fredo is a generic domain-independent broker that creates valueadded information taking into account the preferences specified by its clients. Fredo uses ontology services and yellow pages services to discover a set of agents that can provide information relevant to its clients’ requests. Fredo uses an intelligent heuristic strategy based on a fuzzy evaluation mechanism to plan the queries it u...