ANALYSIS OF PARAMETERIZATION VALUE REDUCTION OF SOFT SETS AND ITS ALGORITHM
| Autor: | Edi Sutoyo, Abdullah Arshah Ruzaini, Mungad Mungad, Haruna Chiroma, Wan Mohd Wan Maseri, Mohammed Adam Taheir Mohammed |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
lcsh:Computer software
Mathematical optimization Nanohexagons lcsh:Computer engineering. Computer hardware Astrophysics::High Energy Astrophysical Phenomena Value (computer science) lcsh:TK7885-7895 Reduction (complexity) Microwave Irradiation Quantum Size Effect lcsh:QA76.75-76.765 Semiconductors Algorithm Photoluminescence Mathematics Soft set Nanomaterials |
| Zdroj: | International Journal of Software Engineering and Computer Systems, Vol 2, Iss 1, Pp 51-57 (2016) |
| ISSN: | 2180-0650 2289-8522 |
| Popis: | In this paper, the parameterization value reduction of soft sets and its algorithm in decision making are studied and described. It is based on parameterization reduction of soft sets. The purpose of this study is to investigate the inherited disadvantages of parameterization reduction of soft sets and its algorithm. The algorithms presented in this study attempt to reduce the value of least parameters from soft set. Through the analysis, two techniques have been described. Through this study, it is found that parameterization reduction of soft sets and its algorithm has yielded a different and inconsistency in suboptimal result. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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