Catálogo de publicaciones - libros

In this paper, we will formalize the way, how people make inferences on the basis of the, so called, linguistic description which is a set of fuzzy IF-THEN rules understood as expressions of natural language. We will explain our idea on the following example.

The development of many soft computing applications asks for mechanisms which allow the representation and management of fuzziness in the object-oriented data model. This paper proposal allows the management of imprecision in the description of objects. Moreover, it responds to programmers’ needs by providing an easy-to-use transparent mechanism that can be used to develop applications which deal with fuzzy information. We present a framework which enables the development of object classes with imprecise attributes in modern programming languages such as C#. Our framework includes generic code for the comparison of fuzzily described objects and its implementation makes use of advanced features of the .NET platform, reflection and metadata attributes, in particular. Our framework makes the implementation of fuzzy user-defined classes easier and it can be used without interfering with the usual object-oriented software development tasks.

The present article aims to explore various situations when the three coefficients in the intuitionistic fuzzy triple (μ, ν, π) form different majorities. Besides the detailed geometrical representation, the article presents four new extended modal operators V_α,β, V′_α,β, W_α,β, and W′_α,β, for adjusting the intuitionistic fuzzy estimations.

The paper concerns one of relevant issues related to the handling of textual information, that is the dominant form of information in many real world problems, for providing support for decision making. We discuss the issue of text document categorization that is a prerequisite for further analyses. We indicate how the use of fuzzy linguistic summaries for text categorization may help the decision maker to have documents classified in a human consistent way into categories, which in turn should greatly help him or her extract relevant information and knowledge from textual documents available, and then use them to arrive at a better decision in a more effective and efficient way. We indicate that the solutions proposed can be of use for enhancing the power of so-called document driven decision support systems.

This paper presents a model for prediction of football league matches. We use intuitionistic fuzzy SQL (IFSQL) and intuitionistic fuzzy relational databases (IFRDB) to store and manage data about football matches and predictions. We take advantage of intuitionistic fuzzy sets by relating the degree of indefiniteness to an uncertainty about the estimation for a team’s capabilities. The uncertainty is produced by insufficient statistical data.

A generalized net model with intuitionistic fuzzy estimations has been constructed in order to simulate electronic adaptive assessment of students. The final mark is determined on the basis of a set of such assessment units as the problem, the test, or the examination. Each assessment unit has been associated with weight coefficients, represented by intuitionistic fuzzy estimations, determining the unit’s importance.

Analytic Hierarchical Process(AHP) is proposed to give the priority weight with respect to many items. The priority weights are obtained from the pairwise comparison matrix whose elements are given by a decision maker as crisp values. We extend the crisp pairwise comparisons to fuzzy ones based on uncertainty of human judgement. To give uncertain information as a fuzzy value is more rational than as a crisp value. We assume that the item’s weight is a fuzzy value, since the comparisons are based on human intuition so that they must be inconsistent each other. We propose a new AHP, where the item’s weight is given as a fuzzy value, in order to deal with inconsistency in the given matrix. The purpose is to obtain fuzzy weights so as to include all the given fuzzy pairwise comparisons, in the similar way to the upper approximation in interval regression analysis.

Many highly motivated students fail because of a lack of resources to help them overcome learning obstacles. A possible solution is to produce more intelligent tutoring systems to support the tutors work in the classroom. In our paper we first give an overview of our previous work on ITS systems and follow with a summary of the complete ITS system that we are developing. We relate how the student model developed in previous work is now used with an optimiser agent to “fine-tune” the linguistic variables of a fuzzy rule decision structure that is used by a tutor model to decide on “ what ” should be presented next to a student and “how” it should be presented. There is a detailed description of how our concept of an “ optimiser ” works followed by concluding remarks.

We introduce the consistency conditions Fα, Fβ, Fδ as fuzzy forms of Sen’s properties α, β and δ . One first result shows that a fuzzy choice function satisfies Fα, Fβ if and only if the congruence axiom WFCA holds. The second one shows that if h is a normal fuzzy choice function then Fδ holds if and only if the associated preference relation R is quasi-transitive.

Water quality management is an important issue of relevance in the context of present times. Water quality indices are computed for classification of water wherein the integration of parametric information on water quality data and the expert’s knowledgebase on their importance & weights are considered. Considerable uncertainties are involved in the process of defining water quality for specific usage. Antalya City, located along the coasts of Mediterranean Sea in Turkey, is famous worldwide due to its tourism potential. Antalya City has a beautiful landscape composed of mountains, forests, beautiful beaches and the sea. In order to apply sustainable tourism principles in Antalya, the protection of valuable environmental resources gains a particular importance. A land survey study was carried out to determine the pollution loads of Bogacay Stream, an important land-based pollution source of Antalya City, for one year duration. According to the water quality classifications obtained from Fuzzy Logic, water quality changes temporally in Bogacay Stream and an occasional critical level of water quality was determined in July which coincides with the peak use of the beach for recreational activities. Goksu Stream is the main source of Bogacay Stream. It always carries main part of water to Bogacay. So, on a large scale Goksu Stream determines the Bogacay Stream’s water quality. In this study, both field measurements and lab analyses have been realized and pollution loads of the polluting parameters have been calculated for Goksu Stream. A recent study has been realized to assess the water quality of Goksu Stream using Fuzzy Logic approach.