Biography
Prof. A. Biswas
Prof. A. Biswas
University of Kalyani, China
Title: On Resolving Multiple Uncertainties in Agricultural Planning and Solid Waste Management Models
Abstract: 

Most of the decision making problems contain several types of uncertainties available with the available data and resource parameters, and also with the process of judgments by the decision makers. To tackle those situations various types of mathematical tools, viz., fuzzy sets, intuitionistic fuzzy sets, etc. have been developed.
This article expresses how multiobjective fuzzy programming model, with parameters as intuitionistic fuzzy numbers, is efficiently applied for modeling and solving land allocation problems in agricultural sector for optimal production of several seasonal crops in a planning year. The resource parameters incorporated with the problem are considered as triangular intuitionistic fuzzy numbers. A fuzzy goal programming methodology is employed in intuitionistic fuzzy environment to increase the production of various seasonal crops by utilizing the total cultivating lands as much as possible. In the decision making process the under-deviational variables of the membership goals are minimized for the achievement of the highest membership degree of the developed fuzzy goals. To illustrate the potential use of the approach, the model solution is compared with the existing land allocation, land allocation obtained by other existing methodology for a season for the various crops.
Also, a fuzzy chance constrained programming approach is developed for municipal solid waste management to minimize the net system cost and to maximize the revenue generated from different treatment facilities. Most of the parameters involved with this model are imprecisely defined and probabilistically uncertain. A fuzzy chance programming model is developed to minimize the net system cost of sorting and transporting the wastes and to maximize the revenue generated from different treatment facilities. To resolve the cases arising due to the multiple occurrences of fuzzy goals, a fuzzy goal programming has been adopted. To expound the potential use of the approach, a modified version of a case example, studied previously, has been considered and solved.

Biography: 

Dr. A. Biswas is now working as an Associate Professor in the Department of Mathematics, University of Kalyani, India. He joined this university as an Assistant Professor in 2006. Formerly, he served Sikkim Manipal University of Health, Medical and Technological Sciences, Sikkim, India and RCC Institute of Information Technology, Kolkata, India as a Lecturer in Mathematics. He is a Senior Member of IEEE, Computational Intelligence Society, International Economics Development Research Center (IEDRC), Life Member of Indian Statistical Institute, Kolkata, India, Operational Research Society of India, Tripura Mathematical Society, Tripura, India and Member of World Academy of Science, Engineering and Technology (WASET), International Association of Engineers (IAENG), Soft Computing Research Society, India, Multicriteria Decision Making Society, Germany, etc. The area of his research includes Fuzzy Stochastic Programming, Fuzzy Control, Multicriteria Decision Making, Artificial Intelligence and their applications to different real life problems. Dr. Biswas produced about 50 number of research articles in different leading international journals and conferences. He attended more than 25 international conferences, presented papers and chaired several technical sessions in India and abroad. Five research students have received Ph.D. degree under his supervision. He received Bharat Vikas Award in 2016. He is one of the reviewers of different leading International Journals and Conferences.