Affiliations: [a]
Department of CSE, TGB Government Polytechnic Shravasti, Uttar Pradesh, India
| [b]
Department of IT, KIET Group of Institutions, Ghaziabad, Uttar Pradesh, India
| [c]
Department of CSE, JUIT, Wakanaghat, Solan, Himachal Pradesh, India
| [d]
Department of CA, NIT, Jamshedpur, Jharkhand, India
Correspondence:
[*]
Corresponding author. Harikesh Bahadur Yadav, Department of CSE, TGB Government Polytechnic Shravasti, Uttar Pradesh, India. E-mail: yadavaharikesh@gmail.com.
Abstract: Decision-making is very important activities in the various applications of science, engineering, and technology. A decision can be derived in three manners by these applications: (1) by developing a mathematical model, (2) taking domain experts advice, (3) developing an expert system. However, accurate mathematical model may not be developed for the domain that might not be completely interpreted. Moreover, the problem with the second method is that the human intervention is not possible all the time and the expenditure of hiring a domain expert may be high. Decision-making, using expert system or controller induces great interest among the researchers and professionals. Expert systems or controllers are capable enough to counter unpredictability, noise, and vagueness. Fuzzy set theory is commonly used in building the expert systems and controllers due to its ease and similarity to human reasoning. Therefore, the proposed approach is based on fuzzy logic for decision making. The proposed model is explained through a case study. The result of the proposed work is compared and judged by the results of earlier studies. The result depicts that the proposed method has a better performance and effectiveness than existing studies.
