ANALYSIS OF PARAMETERIZATION VALUE REDUCTION OF SOFT SETS AND ITS ALGORITHM
Journal: International Journal of Computer Systems & Software Engineering (IJSECS) (Vol.2, No. 20)Publication Date: 2016-02-01
Authors : Mohammed Adam Taheir Mohammed; Wan Maseri Wan Mohd; Ruzaini Abdullah Arshah; M. Mungad; Edi Sutoyo; Haruna Chiroma;
Page : 51-57
Keywords : Microwave Irradiation; Nanohexagons; Nanomaterials; Photoluminescence; Quantum Size Effect; Semiconductors.;
Abstract
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.
Other Latest Articles
- AFRICAN BUFFALO OPTIMIZATION
- A SURVEY OF MEDICAL IMAGE PROCESSING TOOLS
- A PROPOSED FRAMEWORK TO CONTROL RUMOUR PROPAGATION ON TWITTER FOR CRITICAL NATIONAL INFORMATION INFRASTRUCTURE (CNII) ORGANISATIONS
- RANCANG BANGUN APLIKASI MOBILE LEARNING PADA SISTEM OPERASI ANDROID
- MODEL PENGENALAN TERBAIK DENGAN TREE-AUGMENTED NETWORK (TAN) DAN ESTIMATOR MAXIMUM LIKELIHOOD (ML) BERDASARKAN FITUR OBJEK
Last modified: 2016-04-18 15:01:47