Affiliation:
1. Department of Computer Sciences and Engineering, Brainware University, Kolkata, India
2. Department of Computational Sciences, Brainware University, Kolkata, India
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.