Synchronization of a Square Fuzzy Transition Probability Relation Matrix using MATLAB
M. Geethalakshmi1, G. Kavitha2
1Dr. M. Geethalakshmi, Department of Mathematics, KCG College of Technology, Karapakkam, Chennai (Tamil Nadu), India.
2Dr. G. Kavitha, Department of Mathematics, Hindustan Institute of Technology and Science, Padur, Chennai (Tamil Nadu), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 1573-1577 | Volume-8 Issue-6, April 2019 | Retrieval Number: F4078048619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper aims to synchronize the square fuzzy transition probability relation matrix which is obtained from the lexical terms along with the help of fuzzy value which in turn calculated from the lexical value. Fuzzy matrices are essential in modelling uncertain situations in various fields. The relation mappings are measured using the lexical terms and the Octagonal fuzzy numbers are specially assigned for lexical values in turn converted to fuzzy value. Along with this, some operations on square fuzzy matrices are discussed by using max-min functions. Here the ambiguity among the relations is easily synchronized and reduced by using the most common tool called the MATLAB by finding the hidden pattern for the square fuzzy transition probability relation matrix. Moreover the major problems faced by IT Professionals are identified by giving suitable numerical example.
Keyword: Lexical Term, Lexical Value, Fuzzy Value, Square Fuzzy Transition Probability Relational Matrix.
Scope of the Article: Fuzzy Logics