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What is Certainty Factor

Fuzzy Expert Systems and Applications in Agricultural Diagnosis
A number assigned to a fact or a rule to indicate the certainty or confidence, with this value fact or rules are validated.
Published in Chapter:
Fuzzy Expert System in Agriculture Domain
M. Kalpana (Tamil Nadu Agricultural University, India) and A. V. Senthil Kumar (Hindusthan College of Arts and Science, India)
Copyright: © 2020 |Pages: 15
DOI: 10.4018/978-1-5225-9175-7.ch001
Agriculture is an important source of livelihood and economy of a country. Decision making plays an important role in various fields. Farmers are the backbone of agriculture. They need expert systems to make decisions during land preparation, sowing, fertilizer management, irrigation management, etc. for farming. Expert systems may suggest precisely suitable solutions to farmers for all the activities. Uncertainty deals with various situations during sowing, weed management, diagnosis of disease, insect, storage, marketing of product, etc. Uncertainty is compounded by many facts that many decision-making activities in agriculture are often vague or based on perception. Imprecision, vagueness, and insufficient knowledge are handled using the concept of fuzzy logic. Fuzzy logic with expert systems helps find uncertain data. Fuzzy expert systems are oriented with numerical processing.
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