NDLI: Modelling physical systems using fuzzy inference cognitive maps

Content Provider	IEEE Xplore Digital Library
Author	Jones, P.M. Roy, R. Corbett, J.
Copyright Year	2004
Description	Author affiliation: Dept. of Enterprise Integration, Cranfield Univ., UK (Jones, P.M.; Roy, R.; Corbett, J.)
Abstract	When faced with real world problems information is often limited and comes in various forms. Information about a system may come in the form of expert opinion, theoretical analysis or empirical data. These problems can often contain cyclic interactions. In this paper a novel approach is proposed based around a development of the fuzzy cognitive map (FCM). The cognitive map is produced according to expert knowledge. This allows an intuitive and structured representation of the problem to be made. This can include representation of interactions and feedback. Adaptive neuro fuzzy inference systems (ANFIS) are used to model the relationships. The use of ANFIS means both qualitative (expert knowledge) and quantitative (empiric data) sources can be used to define the causal relationships. This technique is referred to as a fuzzy inference cognitive map (FICM). High efficiency deep grinding is a new grinding regime. Only limited empirical data is available. Initial theoretical models have been developed they include a circular interaction. This paper outlines how HEDG can be modelled using FICM. This incorporates analytical models, expert opinion and experimental data into one model. The paper presents initial results.
Sponsorship	IEEE IEEE Syst., Man, and Cybernetics Soc. Univ. of Alberta, Faculty of Eng., Dept. of Elec. & Comput. Eng. Alberta Innovation & Sci. ASERC iCORE Alberta Ingenuity (AI) Fund Nat. Res. Council (NRC) Pearson Educ. Canada J. Wiley McGraw Hill Elsevier BV Inst. of Phys. Res. Studies Press SUN Microsystems Springer-Verlag Login Brothers Canada
Starting Page	533
Ending Page	538
File Size	378139
Page Count	6
File Format	PDF
ISBN	0780383761
DOI	10.1109/NAFIPS.2004.1337357
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy cognitive maps Fuzzy systems Hybrid intelligent systems Feedback loop Data analysis Information analysis Neurofeedback Analytical models Process control Electrical equipment industry
Content Type	Text
Resource Type	Article

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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
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