Dominance-Based Rough Set
Dominance Based Rough Set Approach in Selection of Portfolio of Sustainable Development Projects
... the Dominance-based Rough Set Approach (DRSA) has been proposed to assist the Board of Directors of the Community Futures Development Corporations (CFDC), the sub-region of Abitibi-West ...
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Comparison of Analytic Hierarchy Process and Dominance Based Rough Set Approach as Multi Criteria Decision Aid Methods for the Selection of Investment Projects
... and Dominance- based Rough Set Approach (DRSA), applied to the ranking of ten investment projects based on evaluation of the overall risk associated with ...ranking based on a ...
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Identifying Strategic Development Objectives for European Union’s Potential Candidate States Using Dominance Based Rough Set Approach: Case Study of Bosnia and Herzegovina
... the Rough set theory is a mathematical tool with the aim of supporting decision-making ...“Dominance-based Rough Set Approach” ...
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Identifying Strategic Development Objectives for African Countries Using Dominance Based Rough Set Approach: The Poverty String Theory
... DOI: 10.4236/me.2018.97082 1264 Modern Economy decision-making processes in fields such as medicine, banking, engineering, learning, location selection, pharmacology, finance, market analysis and eco- nomics [4]-[11]. It ...
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Use of the Dominance Based Rough Set Approach as a Decision Aid Tool for the Selection of Development Projects in Northern Quebec
... the dominance-based rough set (DRSA) approach to the selection of projects in the context of the Northern Quebec development ...plan. Based on this research, decision makers will be ...
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Defining Poverty Using Dominance Based Rough Set Theory and Proposing Strategic Objectives for the United Nations Developing Countries
... using Dominance-based Rough Set Ap- proach (DRSA) to help International organizations (both non-governmental organizations and governmental organizations) define poverty, identifying ...
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Spare parts classification in industrial manufacturing using the dominance-based rough set approach
... the dominance-based rough set approach ...a set of ‘if–then’ decision rules is generated from historical data using the ...unseen set of spare parts in a real ...and, ...
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Rough set theory based prognostic classification models for hospice referral
... and dominance-based rough set rules, ...minimal set of deci- sion rules using a minimal number of rule conditions, thus the inclusion of MODLEM allows for an evaluation of the impact of ...
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Rough Computational Approach to UAR based on Dominance Matrix in IOIS
... of rough set ...was based on consistent infor- mation systems, and the main methodology has been de- veloped under equivalence relations (indiscernibility rela- ...also based on ...
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Research and application of the rough multi attribute lattice order decision making
... new rough lattice order decision-making model, which is based on the rough decision-making analysis method of dominant ...of rough decision-making analysis, based on dominance ...
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Severity Classification of Multiple Sclerosis Disease: A Rough Set Based Method
... fuzzy set theory and probability in statistics, (ii) the ability to reduce the original dataset into a minimal dataset which has the same knowledge as the original dataset, (iii) provides the facility to find the ...
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Reduction of Rough Set Based on Generalized Neighborhood System Operator
... The classical Pawlak's rough sets are based on partition or equivalent relation. This is too restrictive for many applications of Pawlak's rough sets. To address this problem, many extensions of a ...
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An Adaptive Multiple Databases for Rough Set Based Record Deduplication
... The stepwise component strategy is as underneath:- 1. All record sets are connected into single set called D. D comprises of a few individual record {R1,R2,… ,Rm}. At that point, above records data is spoken to in ...
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ROUGH SET BASED CLUSTERING OF GENE EXPRESSION DATA: A SURVEY
... groups based on the given features such that the data objects in the same group are more similar to each other than the data objects in other ...grouped based on the principle of maximizing intraclass ...
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Rough Set Approach to Development of a Knowledge-Based Expert System
... is rough sets theory that addresses ...deduction based on soft knowledge than data representation but of course one cannot create new deduction models without appropriately adapting the data representation ...
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Online Full Text
... fixed set of the original features, according to a given processing goal and a feature selection ...smaller set of ...fields. Rough sets allow us to determine (for a discrete attribute data ...
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Planning urban pavement maintenance by a new interactive multiobjective optimization approach
... Pavement maintenance is essential to prevent the deterioration of asset value and to satisfy the expectations of all stakeholders (objectives). However, the budgets are often insufficient to keep the road pavement at ...
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Multigranulation Decision theoretic Rough Set Based on Incomplete Interval valued Information Systems
... Pawlak rough set theory[1] is a powerful mathematical tool for uncertainty management, especially in describing the uncertainty of the ...data. Rough set theory has been widely used in many ...
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Covering-Based Grade Rough Fuzzy Set Models
... covering-based rough fuzzy set model establishes the relationship between the coverage C and the membership of element in the fuzzy set A ~ , which is using the fuzzy covering-based ...
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Rough Set Based Grid Computing Service in Wireless Network
... a Rough sets-based search engine for grid service ...the Rough sets theory, ROSSE is novel in its capability to deal with the uncertainty of properties when matching ...
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