Fuzzy rough set theory for the interval-valued fuzzy information systems

Purpose – The purpose of this paper is to present a new method for evaluation of emergency plans for unconventional emergency events by using the soft fuzzy rough set theory and methodology. Design/methodology/approach – In response to the problems of insufficient risk identification, incomplete and inaccurate data and different preference of decision makers, a new model for emergency plan evaluation is established by combining soft set theory with classical fuzzy rough set theory. Moreover, by combining the TOPSIS method with soft fuzzy rough set theory, the score value of the soft fuzzy lower and upper approximation is defined for the optimal object and the worst object. Finally, emergency plans are comprehensively evaluated according to the soft close degree of the soft fuzzy rough set theory. Findings – This paper presents a new perspective on emergency management decision making in unconventional emergency events. Also, the paper provides an effective model for evaluating emergency plans for unconventional events. Originality/value – The paper contributes to decision making in emergency management of unconventional emergency events. The model is useful for dealing with decision making with uncertain information.

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Conjugate Information Systems: Learning Cognitive Concepts in Rough Set Theory

Lecture Notes in Computer Science - Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing ◽

10.1007/3-540-39205-x_33 ◽

2007 ◽

pp. 255-258 ◽

Cited By ~ 2

Author(s):

Maria Semeniuk-Polkowska ◽

Lech Polkowski

Keyword(s):

Information Systems ◽

Set Theory ◽

Rough Set ◽

Rough Set Theory ◽

Systems Learning

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On Quasi Discrete Topological Spaces in Information Systems

International Journal of Artificial Life Research ◽

10.4018/jalr.2012040104 ◽

2012 ◽

Vol 3 (2) ◽

pp. 38-52 ◽

Cited By ~ 1

Author(s):

Tutut Herawan

Keyword(s):

Information System ◽

Information Systems ◽

Topological Space ◽

Set Theory ◽

Rough Set ◽

Rough Set Theory ◽

Topological Spaces ◽

Discrete Topology

This paper presents an alternative way for constructing a topological space in an information system. Rough set theory for reasoning about data in information systems is used to construct the topology. Using the concept of an indiscernibility relation in rough set theory, it is shown that the topology constructed is a quasi-discrete topology. Furthermore, the dependency of attributes is applied for defining finer topology and further characterizing the roughness property of a set. Meanwhile, the notions of base and sub-base of the topology are applied to find attributes reduction and degree of rough membership, respectively.

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Rough Sets for Discovering Concurrent System Models from Data Tables

Rough Computing ◽

10.4018/978-1-59904-552-8.ch012 ◽

2011 ◽

pp. 239-268 ◽

Cited By ~ 7

Author(s):

Krzysztof Pancerz ◽

Zbigniew Suraj

Keyword(s):

Information Systems ◽

Set Theory ◽

Rough Set ◽

Petri Net ◽

Rough Set Theory ◽

Research Trend ◽

Concurrent System ◽

System Models ◽

Data Tables ◽

New Research

This chapter constitutes the continuation of a new research trend binding rough set theory with concurrency theory. In general, this trend concerns the following problems: discovering concurrent system models from experimental data represented by information systems, dynamic information systems or specialized matrices, a use of rough set methods for extracting knowledge from data, a use of rules for describing system behaviors, and modeling and analyzing of concurrent systems by means of Petri nets on the basis of extracted rules. Some automatized methods of discovering concurrent system models from data tables are presented. Data tables are created on the basis of observations or specifications of process behaviors in the modeled systems. Proposed methods are based on rough set theory and colored Petri net theory.

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