In this paper, we present an approach to primarily achieve the semantic interpretation and the region retrieval for an attentive region in a color image. The main components of the system include image feature extraction, indexing process, as well as linguistic inference rules construction and semantic description. Based on these features, each of attentive regions in an image can be described ...

Several choice processes of alternatives for non-homogeneous group decision making problems, assuming linguistic preference relations for expressing the opinions of individuals and linguistic values for expressing their respective power or importance degrees, are presented. These processes are designed using two choice degrees of alternatives based on the concept of fuzzy majority: quanti-er gu...

Linguistic equations are designed for integrating knowledge and data in development of nonlinear multivariable systems for intelligent process analysis, process control, fault diagnosis and forecasting. Insight to the process operation is maintained since all the modules can be assessed by expert knowledge and membership definitions relate measurements to appropriate linguistic terms on differe...

This paper proposes a hybrid approach to the design of a compact fuzzy rule-based classi>cation system with a small number of linguistic rules. The proposed approach consists of two procedures: rule extraction from a trained neural network and rule selection by a genetic algorithm. In this paper, we first describe how linguistic rules can be extracted from a multilayer feedforward neural networ...

The linguistic approach based on fuzzy sets has given very good results in the modeling of qualitative information, from what has been applied to solve several real-world problems in medicine, information retrieval, education, etc. In this paper, some practical considerations about the choice and semantic of the linguistic term set of such an approach, as well as diierent proposals of aggre-gat...

An adaptive fuzzy controller is constructed from a set of fuzzy IF-THEN rules whose parameters are adjusted on-line according to some adaptation law for the purpose of controlling the plant to track a given-trajectory. In this paper, two adaptive fuzzy controllers are designed based on the Lyapunov synthesis approach. We require that the final closed-loop system must be globally stable in the s...

Fuzzy linguistic quantifiers – operators intended to model vague quantifying expressions in natural language like “almost all” or “few” – have gained importance as operators for information combination and data summarisation. They are particularly appealing because of their ease-of-use: people are familiar with these operators, which can be applied for technical aggregation purposes in the same...

The management of the health-care wastes is one of the most important problems in Istanbul, a city with more than 12 million inhabitants, as it is in most of the developing countries. Negligence in appropriate treatment and final disposal of the healthcare wastes can lead to adverse impacts to public health and to the environment. This paper employs a fuzzy multi-criteria group decision making ...

Information to be stored in databases is often fuzzy. Two important issues in research in this field are the representation of fuzzy information in a database and the provision of flexibility in database querying, especially via including linguistic terms in human-oriented queries and returning results with matching degrees. Fuzzy linguistic logic programming (FLLP), where truth values are ling...

Fuzzy logic control is a methodology bridging artificial intelligence and traditional control theory. This methodology is usually applied in the only cases when accuracy is not of high necessity or importance. On the other hand, as it is stated in (TI SPRA028, Jan.1993), “Fuzzy Logic can address complex control problems, such as robotic arm movement, chemical or manufacturing process control, a...