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Classification of Finding Degree of Truth Using Fuzzy Logic System for Generating a Systematic Flow of Heat Moisture System
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Author(s): Kumar (Department of Computer Sciences and Engineering, Brainware University, Kolkata, India)and Rubi Sarkar (Department of Computational Sciences, Brainware University, Kolkata, India)
Copyright: 2024
Pages: 12
Source title:
Agriculture and Aquaculture Applications of Biosensors and Bioelectronics
Source Author(s)/Editor(s): Alex Khang (Global Research Institute of Technology and Engineering, USA)
DOI: 10.4018/979-8-3693-2069-3.ch023
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Abstract
Humidity and temperature control are indispensable for human ease, and also for storage purposes. In this chapter, the authors discuss how fuzzy logic is used to regulate the environment's temperature and humidity. For the implementation the authors require some linguistic variables to express the temperature or humidity and fuzzy sets are used to define the membership functions for the used linguistic variable. Eventually, a fuzzy inference system will set up a relation between input and output variables. Here, kingpins are the temperature and humidity, so the input variables are: cool, cold, warm, hot; and output variables are: low, high. Then fuzzy rules are established to get the relation that will help regulate the humidity and temperature. This type of product can be manufactured in the field of production for the well-being of people who are facing where the humidity is high compared to heat.
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