A Fuzzy Transportation Problem Model for Well Balanced Diet Plan
A. Venkatesh1, A. Britto Manoj2
1A. Venkatesh, Assistant Professor, Department of Mathematics, A. V. V. M. Sri Pushpam College, Poondi, Thanjavur (Tamil Nadu), India.
2A. Britto Manoj, Assistant Professor, Department of Mathematics, Anjalai Ammal-Mahalingam Engineering College, Kovilvenni, Tiruvarur (Tamil Nadu), India.
Manuscript received on 28 March 2019 | Revised Manuscript received on 09 April 2019 | Manuscript Published on 18 April 2019 | PP: 957-961 | Volume-7 Issue-6S March 2019 | Retrieval Number: F03950376S19/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: In this paper, we considered each type of nutrient content and the price of food items as fuzzy sets. We proposed a fuzzy transportation problem in which hexagonal fuzzy number represents the cost, availability and demand of food items. The optimal solution for the well balanced diet plan has been obtained for the food items that have rich nutrient content with minimal cost.
Keywords: Fuzzy Transportation Problem, Hexagonal Fuzzy Number, Ranking Function, Human Balanced Diet, Nutrients AMS Subject Classification: 90B06, 90C08, 90C70, 90C90, 97M40.
Scope of the Article: Fuzzy Logics