rough set based approach
Spare parts classification in industrial manufacturing using the dominance-based rough set approach
... ThedecisiontableusedinourcasestudyisgiveninAppendixA.Asshowninthistable,thelearningsetiscomposed of 98 spare parts described in terms of four criteria, namely Criticality, Annual Dollar Usage, Average Unit Cost, and Lead ...
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A Rough Set and GIS Based Approach for Selecting Suitable Shelters during an Evacuation Process
... Rough set theory, introduced by Z. Pawlak [5], presents a mathematical approach for dealing with imperfect know- ledge; its methodology is concerned with the classifica- tion and analysis of ...
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Choosing the best knowledge acquisition for dengue dataset based on rough set approach
... Rough Set (RS) is one of data mining task which is capable to provide knowledge for ...a set of quality ...suitable approach in rough set that capable to generate quality ...
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A Variable Precision Fuzzy Rough Set Approach to a Fuzzy Rough Decision Table
... both rough and ...precision rough set) approach is proposed based on substitution of the indiscernibility relation by a fuzzy indiscernibility relation in the rough approximation ...
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Online Shopping Adoption Factors in Kuwait Market based on Data Mining Rough Set Approach
... 2003). Rough set theory is an important mathematical theory that is used to find the most important features (called reduct) which represents informational ...of rough set theory will be used ...
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Risk Analysis Technique on Inconsistent Interview Big Data Based on Rough Set Approach
... large set of risk scenarios [12]. To deal with this large set we need a systematic process that filters and ranks these identified scenarios is needed so that risk mitigation activities can be ...the ...
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MULTI LEVEL GROUP KEY MANAGEMENT TECHNIQUE FOR MULTICAST SECURITY IN MANET
... in rough set theory has been studied in this ...our approach is able to produce good results and comparable with other approaches in the ...algorithm, based on certain rules generated from an ...
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A Feature Selection Approach of Inconsistent Decision Systems in Rough Set
... is based on inclusion degree [40] can obtain all reducts of a decision system, and we can always use discernible matrix method to find core attribute set in both consistent and inconsistent decision ...
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Retrieving the Missing Information from Information Systems Using Rough Set, Covering Based Rough Set and Soft Set
... Soft set theory has potential applications in many different fields which include the smoothness of functions, game theory, operations research, Riemann integration, Peron integration, probability theory, and ...
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Application of kohonen neural network and rough approximation for overlapping clusters optimization
... The approach is based on the rough set theory that employs a soft clustering which can detects overlapped data from the data set and makes clustering as precise as possible,[r] ...
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Rough Set Approach for the Classification of Advertisement in the Development of Business Establishment
... data set and to derive the relevant data for desired ...of rough set theory has an important role to play for knowledge discovery in data ...first approach to predict business failure started ...
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Rough Set Approach for Generation of Classification Rules for Malaria
... mainly based on quite strong assumptions knowledge about dependencies, probability distributions and large number of experiments are unable to de-rive conclusions from incomplete knowledge, or cannot manage ...
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A NOVEL APPROACH OF ROUGH SET ANALYSIS IN DISTRIBUTED DATA MINING
... databases. Rough Set Theory (RST) is a mathematical formalism for representing uncertainty that can be considered an extension of the classical set ...applying rough set theory to DDM, ...
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A Rough Set Approach towards Analysis of Cosmetic Data
... Bearing a long glowing heritage of cosmetic and beauty, aesthetic makeup products are being used since olden days. While the demand of beautifying substances are growing day by day, a large number of local as well as ...
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Rough Set Based Opinion Mining in Tamil
... mining approach. In this paper, the rough set theory is useful to extract the key sentences and its feature attribute after getting the opinion from the post will be ...the rough set ...
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An Innovative Approach for Attribute Reduction in Rough Set Theory
... In the scope of attribute reduction in RST applied to classification, any metaheuristic requires an evaluation function in order to rank the candidate solutions/reducts. Two different functions were evaluated in this ...
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Rough Set Approach to Multivariate Decision Trees Inducing
... All of the decision tree techniques stated above involve univariate decision trees, simply UDT [10]. That is, at each node, a split of the data is made based on the value of a single variable. In many real world ...
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A Rough Set Approach for Generation and Validation of Rules for Missing Attribute Values of a Data Set
... rules based on reduct. Our results are validated by conducting the same rough set analysis on the incomplete information system using the software ...
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Quantization of Rough Set Based Attribute Reduction
... Several methods have been used for handling missing values. One is complete case analysis ignoring the sam- ples with missing values [3]. This method can only be used when the proportion of missing values is not large; ...
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Dominance Based Rough Set Approach in Selection of Portfolio of Sustainable Development Projects
... Dominance-based Rough Set Approach (DRSA) ...of Rough Sets allow us to sim- plify the process of selecting a portfolio of sustainable development projects by reducing a number of ...
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