NDLI: Efficient inference procedures with fuzzy inputs

Content Provider	IEEE Xplore Digital Library
Author	Ughetto, L. Dubois, D. Prade, H.
Copyright Year	1997
Description	Author affiliation: Inst. de Recherche en Inf., CNRS, Toulouse, France (Ughetto, L.)
Abstract	In fuzzy rule-based systems, allowing for fuzzy inputs and producing accurate fuzzy outputs is necessary in order to process the knowledge in an efficient and correct way. However, if reasoning with fuzzy inputs is easy with Mamdani-like conjunction-based rules, it becomes more difficult with implication-based rules. Indeed, it has been shown that the usual rule-by-rule inference mechanism, Select, Trigger and Combine, should not be used with this kind of rules when facing fuzzy inputs, since it generally leads to unexpectedly too large outputs. Even if implication-based rules present suitable properties, they have not been widely used due to this practical limitation. In this paper, new inference procedures are proposed for certainty rules and gradual rules, and the two main types of implication-based rules are: modeled with Kleene-Dienes and Rescher-Gaines implications, respectively. A solution is given which allows a rule-by-rule inference with certainty rules, and an exact inference algorithm is given for gradual rules which are more difficult to handle.
Starting Page	567
Ending Page	572
File Size	649641
Page Count	6
File Format	PDF
ISBN	0780337964
DOI	10.1109/FUZZY.1997.616429
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-07-05
Publisher Place	Barcelona
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy systems Fuzzy control Knowledge based systems Fuzzy reasoning Inference mechanisms Hybrid intelligent systems Inference algorithms Expert systems Fuzzy sets Uninterruptible power systems
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Efficient multi-stage reasoning with fuzzy words

Fitting fuzzy switching functions to uncertain knowledge

On if-then-else inference rules

An inexact reasoning technique using linguistic rule matrix transformations

Expert system with an adaptive fuzzy inference module

An improved fuzzy modeling algorithm. I. Inference mechanism

Multilevel weighted fuzzy reasoning with interaction

Fuzzy expert system for personal computer communication

Research on fuzzy diagnosis Expert System of electronic control engine

Efficient inference procedures with fuzzy inputs

Similar Documents

Efficient multi-stage reasoning with fuzzy words

Fitting fuzzy switching functions to uncertain knowledge

On if-then-else inference rules

An inexact reasoning technique using linguistic rule matrix transformations

Expert system with an adaptive fuzzy inference module

An improved fuzzy modeling algorithm. I. Inference mechanism

Multilevel weighted fuzzy reasoning with interaction

Fuzzy expert system for personal computer communication

Research on fuzzy diagnosis Expert System of electronic control engine

Efficient inference procedures with fuzzy inputs