A Mathematical Model for Green Leaves Diet Using Ranking of Tridecagonal Fuzzy Numbers

Authors

  • Britto Manoj A Department of Advanced Computer Science and Engineering, Vignan’s Foundation for Science, Technology & Research, Vadlamudi (Post), Guntur (Dist.) - 522213, India
  • Stalin T Department of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai - 600 062, India
  • Balakumar R Department of Mathematics, Periyar Maniammai Institute of Science & Technology, Vallam, Thanjavur, India
  • Balamurugan M Department of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai - 600 062, India
  • Kanimalar P N Department of Mathematics, Periyar Maniammai Institute of Science & Technology, Vallam, Thanjavur, India

DOI:

https://doi.org/10.11113/mjfas.v20n4.3580

Keywords:

Fuzzy transportation problem, tridecagonal fuzzy number, ranking function, human balanced diet for green leaves.

Abstract

This study presents a new way of ranking transportation options using tridecagonal fuzzy numbers. This approach takes into account factors such as demand, supply, and transportation costs, and aims to provide a more optimized solution for these fuzzy environments. With the rising importance of healthy eating habits, particularly emphasizing green leafy vegetables, devising an effective dietary plan becomes imperative. Traditional approaches often overlook the inherent uncertainty and fuzziness in dietary preferences and nutritional requirements. In this context, tridecagonal fuzzy numbers offer a robust framework to represent and analyze uncertain dietary preferences. Our ultimate goal is to promote a green leaf diet that is both affordable and widely available, while also improving the overall health and well-being of the general public. This research contributes to the advancement of mathematical modelling in nutrition science, offering a valuable tool for promoting healthier dietary choices and lifestyle habits.

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Published

27-08-2024