Fuzzy logic, neural network, fuzzy-neural networks play an important role in the linguistic modeling of intelligent control and decision making in complex systems. The Fuzzy-Neural Network (FNN) learning represents one of the most effective algorithms to build such linguistic models. This paper proposes an Artificial Immune Algorithm (AIA) based optimal learning fuzzy-neural network (IM-FNN). T...

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...

In this paper a Sequential Selection Process in Group Decision Making under linguistic assessments is presented, where a set of linguistic preference relations represents individuals preferences. A collective linguistic preference is obtained by means of a deened linguistic ordered weighted averaging operator whose weights are chosen according to the concept of fuzzy majority, speciied by a fuz...

Assuming a linguistic framework, a model for the consensus reaching problem in heterogeneous group decision making is proposed. This model contains two types of linguistic consensus measures: linguistic consensus degrees and linguistic proximities to guide the consensus reaching process. These measures evaluate the current consensus state in three levels of action: level of the pairs of alterna...

In this work, we analyze how the linguistic labels of a linguistic variable can be a useful tool in the L-Fuzzy Concept Theory. In concrete, we study the L-Fuzzy concepts obtained from a departure set represented by means of these linguistic labels applied to the set of objects or attributes. We also illustrate the results by means of an example.

The authors [2-5] have studied and presented the quantitative method of linguistic variables and linguistic threshold by fuzzy set. Chien-Hua Wang, Chin-Pang Tzong proposed an algorithms for mining fuzzy association rule [2]. In this paper, we extend the algorithms proposed in [2] for number data and linguistic variables by using hedge algebras.

Customers’ satisfaction is one of the very important keys in ever challenging market. There are many approaches that have been used to evaluate customers satisfaction. This paper proposes an evaluation of customer satisfaction from the perceived service quality using fuzzy linguistic. A twenty three-item questionnaire was distributed to thirty four judges who being asked about the services prov...

PROMETHEE refers to a collection of methods of ranking in the field of multi-criteria decision making. These methods are characterized by conceptual simplicity and practical applicability. However, the nature of phenomena involving decision-making in real world leads us to use fuzzy method of preference ranking. The most common criticism on mathematical ranking procedures is that they tend to d...