V Lakshmi Prasannam

Work place: Dept. of Mathematics, PG Centre, PB Siddhartha College, Vijayawada, A.P., INDIA

E-mail: dvrlp@rediffmail.com


Research Interests: Computational Mathematics, Mathematics


V LAKSHMI PRASANNAM obtained her Ph.D in 1997 from Andhra University, India. She has published 9 papers and presented 7 papers so far. She has been working as Professor in the department of mathematics since November 2009 in P.B. Siddhartha College, Vijayawada. She  Received Sri  CHUKKAPALLI PITCHAIAH MEMORIAL BEST TEACHER AWARD on 25th  January, 2016 in appreciation of credit worthy research and publications as well as highly inspirational teaching techniques in the field of Mathematics. She has guided two Ph.D’s and three M.Phil’s. At present, she has been the head of the department of P.G. Centre, P.B. Siddhartha College, Vijayawada since November 2009. Her interested research area is Difference Equations, Fuzzy sets and Algebra.

Author Articles
Defuzzification Index for Ranking of Fuzzy Numbers on the Basis of Geometric Mean

By Nalla Veerraju V Lakshmi Prasannam L N P Kumar Rallabandi

DOI: https://doi.org/10.5815/ijisa.2020.04.02, Pub. Date: 8 Aug. 2020

The importance of fuzzy numbers to express uncertainty in certain applications, concerned with decision making, is observed in a large number of problems of different kinds. In Decision making problems, the best of available alternatives is chosen to the possible extent. In the process of ordering the alternatives, ranking of fuzzy numbers plays a key role. A large volume of ranking methods, based on different features, have been available in this domain. Owing to the complicated nature of fuzzy numbers, the so far introduced methods suffered setbacks or posed difficulties or showed drawbacks in one context or other. In addition, some methods are lengthy and complicated to apply on concerned problems. In this article, a new ranking procedure based on defuzzification, stemmed from the concepts of geometric mean and height of a fuzzy number, is proposed. Finally, numerical comparisons are made with other existing procedures for testing and validation of proposed method with the support of some standard numerical examples.

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