Conjunction Weighted Average Method with Fuzzy Expert System for Weather Event Forecasting – A Monthly Outlook

Authors

  • U Ramya Devi PG and Research Department of Mathematics, PoompuharCollege,(Autonomous),Melaiyur Nagapattinam Affiliatedby BharathidasanUniversity-trained, India
  • K Uma PG and Research Department of Mathematics, PoompuharCollege,(Autonomous),Melaiyur Nagapattinam Affiliated byBharathidasan UniversityTamilNadu, India

DOI:

https://doi.org/10.23755/rm.v44i0.928

Keywords:

Fuzzy logic, rainfall and weather forecasting

Abstract

Fuzzy logic as a limiting case of approximate reasoning is viewed in exact reasoning, consider everything in a matter of degree. A collection of elastic or equivalently interpreted to knowledge, a collection of variables in fuzzy constraint. Inference is process as a propagation of elastic constraints. Every logical system is fuzzified in fuzzy logic. Fuzzy logic is fascinating area of research, it trading off between significance and precision. It is convenient way to map space of input to a space of output. Fuzzy logic as so far as the laws of Mathematics refers to reality, they are not certain and so far, as they are certain as complexity rises, precise statements lose meaning and meaningful statements lose precision. Most meteorological infrastructure is surprisingly versatile. For example, the same radar system that can detect oncoming storms will also be useful for gathering general rainfall data for the farming sector. Being able to predict and forecast the weather also allows for data to be gathered to build up a more detailed picture of a nation’s climate, and trends within it

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Published

2022-12-11

Issue

Vol. 44 (2022): Special Issue: Recent Trends in Mathematics and its Applications

Section

Volume 45-2023

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