A Granular Computing Approach to Decision Analysis using Rough Set Theory
نویسنده
چکیده
This paper presents a granular computing approach to decision analysis using rough set theory and its variable precision extension. The multiattribute structure of decision domain is mapped to the notions of equivalence relations of rough set theory. It allows expressing decision categories in terms of approximation space wherein a decision class can be approximated through the partition of boundary region. The variable precision extension of rough set the memberships function is used to generalize the lower and upper approximations. The decision analytic problems can be mapped into rough set theory at predefined precision level.
منابع مشابه
A New Approach for Knowledge Based Systems Reduction using Rough Sets Theory (RESEARCH NOTE)
Problem of knowledge analysis for decision support system is the most difficult task of information systems. This paper presents a new approach based on notions of mathematical theory of Rough Sets to solve this problem. Using these concepts a systematic approach has been developed to reduce the size of decision database and extract reduced rules set from vague and uncertain data. The method ha...
متن کاملApplication of Rough Set Theory in Data Mining for Decision Support Systems (DSSs)
Decision support systems (DSSs) are prevalent information systems for decision making in many competitive business environments. In a DSS, decision making process is intimately related to some factors which determine the quality of information systems and their related products. Traditional approaches to data analysis usually cannot be implemented in sophisticated Companies, where managers ne...
متن کاملRough sets theory in site selection decision making for water reservoirs
Rough Sets theory is a mathematical approach for analysis of a vague description of objects presented by a well-known mathematician, Pawlak (1982, 1991). This paper explores the use of Rough Sets theory in site location investigation of buried concrete water reservoirs. Making an appropriate decision in site location can always avoid unnecessary expensive costs which is very important in constr...
متن کاملModeling the Symptom-Disease Relationship by Using Rough Set Theory and Formal Concept Analysis
Medical Decision Support Systems (MDSSs) are sophisticated, intelligent systems that can provide inference due to lack of information and uncertainty. In such systems, to model the uncertainty various soft computing methods such as Bayesian networks, rough sets, artificial neural networks, fuzzy logic, inductive logic programming and genetic algorithms and hybrid methods that formed from the co...
متن کاملGranular Computing in Image Processing and Understanding
Granular Computing (GrC) can be considered as a common name of theories, methodologies, techniques, and tools that make use of granules, i.e. groups, classes, or clusters of a universe, in the process of problems solving. Basic ideas of crisp information granulation have appeared in related fields, such as interval analysis, rough set theory, Dempster-Shafer theory of belief functions, cluster ...
متن کامل