This paper presents a new approach for linguistic system modeling which is also suitable for stability analysis of linguistic models. First we present an approach, which is called infinite place model, described using modified fuzzy Petri net, with uses a new place definition based on physical infinity state concept. This method has some practical difficulties, which are taking care of in the s...

In this article, we propose a fuzzy class relation assigning to each pair of finite fuzzy sets a degree to which they are equipollent, which indicates that they have the same number of elements. The concepts of fuzzy sets and fuzzy classes in the class of all countable sets are introduced, and several standard relations and constructions, such as the fuzzy power set and exponentiation, are defi...

Nowadays, the problem of the flexibility in any organization has essential importance and the associated investigation with the organizational efficiency and performance is considered. In real-world situation, the process of decision making is often based on linguistic and mental data, so applying fuzzy logic in modeling at this point of view is convenient. In this paper, a fuzzy approach is ap...

There are many situations in which problems deal with vague and imprecise information. In such cases, the information could be modelled by means of numbers, however, it doesn’t seem logical to model imprecise information in a precise way. Therefore, the use of linguistic modelling have been used with successful results in these problems. The use of linguistic information involves the need of ca...

Sometimes, an individual may have vague information about the preference degree between two alternatives and can not estimate his preferences with an exact numerical value. Then, a possible approach is to use linguistic assessments instead of numerical values, that is, to suppose that the preference relations are assessed by means of linguistic terms. A scale of certainty expressions, linguisti...

Proper assignment of available human resources to software development tasks is a key issue in order to achieve successful results in a software development project. In this paper we present a fuzzy linguistic approach that utilizes fuzzy linguistic terms to support the selection of suitable human resources based on their skills and required skills from each project task. The approach follows a...

Having a baby brings new changes and challenges in parents’ life. There is list of things which are required order to provide comfortable life for the baby. Since most people have limited economic resources, determination be bought becomes an important decision parents. Moreover, number alternatives items shopping (bed, clothes, feeding equipment, stroller, etc.) very much. Therefore, making ch...

Information retrieval is the essential task for Traffic Information Service System in Intelligent Transportation Systems (ITS). There a lot of fuzzy traffic information derived from human factor. To achieve fuzzy semantic retrieval, this paper proposes an approach using Resource Description Framework (RDF) and fuzzy ontology. First, we apply RDF data model to represent traffic information on th...

Bousi∼Prolog is a fuzzy logic programming language whose main objective is to make flexible the query answering process. Its operational mechanism is a extension of the SLD-resolution (called weak resolution) where the classical syntactic unification algorithm has been replaced by a fuzzy one. This paper presents a generic method for the unification of linguistic terms (i.e. fuzzy sets) which i...

Based on linguistic term sets and hesitant fuzzy sets, the concept of hesitant fuzzy linguistic sets was introduced. The focus of this paper is the multicriteria decision-making (MCDM) problems in which the criteria are in different priority levels and the criteria values take the form of hesitant fuzzy linguistic numbers (HFLNs). A new approach to solving these problems is proposed, which is b...