Results 151 to 160 of about 148,450 (186)

Classification of vulnerable areas using Dominance-based Rough Set Approach

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016
The purpose of this paper is to present a multicriteria methodology with spatial visualization, in order to identify most vulnerable areas regarding violence. We used Dominance-based Rough Set Approach to aggregate social, economic, and demographic characteristics, as well to include the preferences of a decision maker. Among the multicriteria methods,
Ciro Jose Jardim de Figueiredo, Debora Viana e Sousa Pereira, Caroline Maria de Miranda Mota   +2 more
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Dominance-Based Rough Set Approach for Possibilistic Information Systems

2011
In this paper, we propose a dominance-based fuzzy rough set approach for the decision analysis of a preference-ordered possibilistic information systems, which is comprised of a finite set of objects described by a finite set of criteria. The domains of the criteria may have ordinal properties that express preference scales.
Tuan-Fang Fan, Churn-Jung Liau, Duen-Ren Liu   +2 more
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Dominance-Based Rough Set Approach to Decision Involving Multiple Decision Makers

2006
In this paper we present a rough set approach to decisions with multiple decision makers. Since preference order is a crucial feature of data concerning decision situations, and classical rough set approach is not able to deal with it, we are using Dominance-based Rough Set Approach (DRSA) where indiscernibility relation of the classical approach has ...
Greco, Salvatore, Matarazzo, Benedetto, Słowiński, Roman   +2 more
openaire   +3 more sources

An Extended Dominance-Based Rough Set Approach to Group Decision

2007 International Conference on Wireless Communications, Networking and Mobile Computing, 2007
In this paper we present a rough set approach to group decisions making. To deal with decision of multiple decision makers we extend dominance-based rough set by introducing specific concepts related to dominance with respect to minimal profiles of evaluations given by multiple decision makers.
Wen-Jie Bi, Xiao-Hong Chen
openaire   +1 more source

Parallel computing of approximations in dominance-based rough sets approach

Knowledge-Based Systems, 2015
Computation of approximation is a critical step for applying rough sets methodologies in knowledge discovery and data mining. As an extension of classic rough sets theory, Dominance-based Rough Sets Approach (DRSA) can process information with preference-ordered attribute domain and then can be applied in multi-criteria decision analysis and other ...
Shaoyong Li, Tianrui Li, Zhixue Zhang, Hongmei Chen, Junbo Zhang   +4 more
openaire   +1 more source

Dominance-Based Rough Set Approach for Decision Analysis - A Tutorial

2008
Scientific analysis of decision problems aims at giving the decision maker (DM) a recommendation concerning a set of objects (called also alternatives, solutions, acts, actions, cases, candidates) evaluated wiht respect to a plurality of their characteristics considered relevant for the problem at hand, and called attributes.
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Dominance-based rough set approach to incomplete fuzzy information system

2008 IEEE International Conference on Granular Computing, 2008
Although many extended rough set models have been successfully applied into the incomplete information system, most of them do not take the incomplete information system with initial fuzzy data into account. This paper thus presents a general framework for the study of dominance-based rough set model in the incomplete fuzzy information systems.
null Lihua Wei, null Zhenmin Tang, null Xibei Yang, null Lili Zhang   +3 more
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Redefining preliminaries of dominance-based rough set approach

Soft Computing, 2022
Faryal Nosheen, Usman Qamar, Muhammad Summair Raza   +2 more
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An incremental approach for calculating dominance-based rough set dependency

Soft Computing
Feature selection and classification are widely used in machine learning in the context of big data. In many data sets, both attributes and decision classes can be preference ordered. Therefore, to process the data and information based on preference-ordered attributes, dominance-based rough set approach (DRSA) has been proposed.
Rana Muhammad Kaleem Ullah, Usman Qamar, Muhammad Summair Raza, John Ahmet Erkoyuncu   +3 more
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A Multi-granulation Model under Dominance-Based Rough Set Approach

2012
Multi-granulation rough set is a generalization of Rough Set Theory (RST) in order to adapt to cases that there are multiple relations in the universe. To allow Dominance-based Rough Set Approach (DRSA) being applied in multiple relations cases, we propose a multi-granulation model based on DRSA.
Shaoyong Li, Tianrui Li, Chuan Luo
openaire   +1 more source