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Search the World's Largest Database of Information Science & Technology Terms & Definitions

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Below please find a list of definitions for the term that
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What is Fuzzy Inference System

Chapter 7

Fuzzy Expert Systems and Applications in Agricultural Diagnosis

It is a framework which depicts the actual process of converting an input into an output using fuzzy logic. Fuzzification, defuzzification, membership function are the building blocks of fuzzy inference system.

Published in Chapter:

A Fuzzy-Based Sustainable Solution for Smart Farming

Kavita Pandey (Jaypee Institute of Information Technology, India) and Shikha Jain (Jaypee Institute of Information Technology, India)

Source Title: Fuzzy Expert Systems and Applications in Agricultural Diagnosis

DOI: 10.4018/978-1-5225-9175-7.ch007

Abstract

Agriculture is an important sector in many developing countries, but the traditional methods are not sufficient to produce a good amount of crop. Moreover, the natural calamities are also destroying a large portion of the crop. Hence, this chapter proposes a prototype model, AgriHelp, to address an agricultural issue using fuzzy logic. The model takes two parameters as input: when and where the farmer wants to sow the crop. Using this information along with available dataset, AgriHelp extracts the expected min-max temperature, rainfall and soil type in the region in the specified season and suggests the best-suited crop to the farmer. The model can further be extended by incorporating more features.

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More Results

Chapter 91

Employing fuzzy if-then rules to express input–output relationships and model the qualitative inputs and reasoning process for creating the output. The fuzzy inference systems incorporate a set of antecedent and consequent fuzzy membership functions as well as a set of Fuzzy IF–THEN rules which considered a firm basis for developing the core of any system which might be used for making decisions in vague and inaccurate situations.

Published in Chapter: Using Fuzzy Logic for Optimizing Business Intelligence Success in Multiple Investment Combinations; From: Encyclopedia of Information Science and Technology, Third Edition

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Chapter 5

A method of mapping the input to an output using set of fuzzy rules. Mamdani and Sugeno are the two fuzzy inference systems.

Published in Chapter: A Fuzzy-Based Calorie Burn Calculator for a Gamified Walking Activity Using Treadmill; From: Handbook of Research on Fuzzy and Rough Set Theory in Organizational Decision Making

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Chapter 3

A fuzzy inference system, abbreviated as FIS, mimic human intelligence for quantifying the ambiguity/imprecision in real world scenario through proper modeling of the fuzziness of real world data by appropriate rule bases.

Published in Chapter: Fuzzy Logic: Concepts, System Design, and Applications to Industrial Informatics; From: Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions

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