This study uses an approach of fuzzy multi attribute decision making in determining alternatives to solve the selection problem of the electrician through a competency test. Competency test consists of several tests of knowledge, skills and work attitude. The parameters of decision making is used to choose the best alternative written test, test of theoretical knowledge, practice knowledge test...

This paper introduces a methodology for route choice based on fuzzy preference relations. The core of the model is FiPV (Fuzzy-individuelle Präferenzen von Verkehrsteilnehmern or fuzzy traveler preferences), that is a choice function based on fuzzy pairwise comparisons for travel decisions. The proposed model may be the first application of fuzzy individual (preference-based) choice in travel d...

We present PROFIT, an advanced prototype system developed to estimate residential property values for real estate transactions. The system enhances Case-Based Reasoning (CBR) techniques with fuzzy predicates expressing preferences in determining similarities between subject and comparable properties. These similarities guide the selection and aggregation process, leading to the final property v...

In this paper we present a software tool designed as a decision aid system for all actors being involved when buying or selling real state, client and realtor, where a main objective for the commercial is to concentrate the client preferences into few alternatives. Since the required previous analysis implies a number of fuzzy concepts, the general procedure here presented considers fuzzy logic...

When dealing with multi-criteria decision making problems, the concept of Pareto-optimality and Pareto-dominance may be inefficient (e.g. generally multiple solutions exist), especially when there is a large number of criteria. Our paper considers the fuzzy multi-criteria decision making problem based on Zadeh’s linguistic approach to P-optimality and P-dominance. The construction, analysis and...

Fuzzy constraints are a popular approach to handle preferences and over-constrained problems in scenarios where one needs to be cautious, such as in medical or space applications. We consider here fuzzy constraint problems where some of the preferences may be missing. This models, for example, settings where agents are distributed and have privacy issues, or where there is an ongoing preference...

The designer of a model to solve decision making problems usually have to face different aspects to finally be able to obtain the solution for a problem. Many of this aspects directly depend on the representation format and semantics of the information provided by the experts. In many occasions experts can not easily represent their preferences using artificial preference structures as fuzzy pr...

Fuzzy-trace theory assumes that decision-makers process qualitative “gist” representations and quantitative “verbatim” representations in parallel. Here, we develop a formal model of fuzzy-trace theory that explains both processes. The model also integrates effects of individual differences in numeracy, metacognitive monitoring and editing, and sensation seeking. Parameters of the model varied ...

We consider stable matching problems where the agents express their preferences compactly via soft constraints. We study the impact of this choice on the computational complexity of finding stable matching, with particular attention to fuzzy constraints.

In this article we focus on efficient solving of searching the best K objects in more attributes according to user’s preferences. Local preferences are modelled with one of four types of fuzzy function. Global preferences are modelled concurrently with an aggregation function. We focused on searching the best K objects according to various user’s preferences without accessing all objects. There...