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We propose a visualization scheme for the representation of the uncertainty and relations in reasoning using extended logic programming. This scheme has graphical layout and color utilization components borrowed from data mining, cartography, and general principles of graphic design. Even in simple logic programming examples the node count in reasoning grows quickly. Said growth contributes to a ldquolost...
A framework for modeling, analyzing and synthesizing nuclear safeguards information with various uncertainties is proposed by using a newly developed belief rule-base inference methodology (RIMER). After a hierarchical analysis of States' nuclear activities on the basis of the International Atomic Energy Agency (IAEA) physical model, the multi-layer structure of the evaluation model for States' nuclear...
Intuitionistic fuzzy set (IFS) is the first major attempt to capture both membership as well as the nonmembership in a comprehensive way. The currently available operators of IFS, at the very least, cannot be used for of knowledge consolidation. In this paper the consolidation operator for IFS has been introduced.
Whether a rule-based fuzzy system has the ability to approximate any multivariate continuous function arbitrarily well is an important issue, especially for fuzzy control and fuzzy modeling. The answer to this issue concerning various Mamdani and Takagi-Sugeno (TS) fuzzy systems employing type-1 fuzzy sets is affirmative and well documented in the literature. As for type-2 (T2) fuzzy systems, the...
A methodology for construction of models using genuine expressions of natural language, namely the so called evaluative linguistic expressions is presented. A sophisticated formal theory of their meaning provides us a tool with a great application potential. These expressions occur also in conditional clauses of natural language which are gathered into linguistic descriptions, for example, of complex...
E-commerce companies have developed tools to assist users in finding the most suitable items for their needs or preferences. The most successful tool in this area has been the recommender systems. This kind of software obtains information about the users' tastes, opinions, necessities, and with a recommendation algorithm, infers recommendations that lead users to the most suitable items for them....
The accurate prediction of forest fire size is important in order to issue adequate and timely warnings and to allocate fire-fighting assets efficiently and effectively. A forest fire data set collected in Portugal has recently become available as a benchmark for experimental validation of data mining techniques to tackle this problem. In this paper, we explore the suitability of a fuzzy rule based...
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