<abstract xmlns="http://www.w3.org/1999/xhtml"><p> A dynamic fuzzy rule promotion approach for the promotion of a confidence factor of a rule for every successful session in diagnosis of a disease in crops by using the specific rules, has already been proposed in literature. This technique has the limitation that an error in the initial estimation of weights reduces linearly after every session the rule is being used. In this paper an improved approach has been proposed using the square root of sum of squares of frequencies, which are spread around the mean true value to reduce the error around a mean value. A rule set for the diseases and their symptoms for the paddy plant has been provided to make comparison between the previous and the improved approach. It has been shown that the improved approach decreases the error in uncertainty of estimation of weight for rules after every successful session. It has also been proposed that the improved approach must be applied in agricultural information dissemination system.</p></abstract>

A dynamic fuzzy rule promotion approach for the promotion of a confidence factor of a rule for every successful session in diagnosis of a disease in crops by using the specific rules, has already been proposed in literature. This technique has the limitation that an error in the initial estimation of weights reduces linearly after every session the rule is being used. In this paper an improved approach has been proposed using the square root of sum of squares of frequencies, which are spread around the mean true value to reduce the error around a mean value. A rule set for the diseases and their symptoms for the paddy plant has been provided to make comparison between the previous and the improved approach. It has been shown that the improved approach decreases the error in uncertainty of estimation of weight for rules after every successful session. It has also been proposed that the improved approach must be applied in agricultural information dissemination system.

Error reduction in promoted confidence factor of a rule using improved fuzzy rule promotion technique

School of Electrical Engineering and Information Technology, Punjab Agricultural University (PAU), Ludhiana

University Institute of Engineering & Technology, Panjab University, Chandigarh

Department of Computer Science and Applications, Panjab University, Chandigarh

Cybernetics and Information Technologies

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

A dynamic fuzzy rule promotion approach for the promotion of a confidence factor of a rule for every successful session in diagnosis of a disease in crops by...

Error reduction in promoted confidence factor of a rule using improved fuzzy rule promotion technique

Published Online: Apr 09, 2014

Page range: 72 - 83

DOI: https://doi.org/10.2478/cait-2014-0006

Keywords
Improved rule promotion methodology, rule promotion methodology, Fuzzy Logic, confidence in rule, agricultural information System, weight factor, confidence factor

© by Lokesh Jain

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Error reduction in promoted confidence factor of a rule using improved fuzzy rule promotion technique

Published Online: Apr 09, 2014

Page range: 72 - 83

DOI: https://doi.org/10.2478/cait-2014-0006

KeywordsImproved rule promotion methodology, rule promotion methodology, Fuzzy Logic, confidence in rule, agricultural information System, weight factor, confidence factor

© by Lokesh Jain

This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords
Improved rule promotion methodology, rule promotion methodology, Fuzzy Logic, confidence in rule, agricultural information System, weight factor, confidence factor