Fuzzy Logic Modeling for Decision Making Processes Using MATLAB

Thangavel Ramya; A.C. Kannan; R.S. Balasenthil; B. Anusuya Bagirathi

doi:10.4028/www.scientific.net/AMR.984-985.425

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 984-985Fuzzy Logic Modeling for Decision Making Processes...

Fuzzy Logic Modeling for Decision Making Processes Using MATLAB

Abstract:

— This paper demonstrates to build a Fuzzy Inference System (FIS) for any model utilizing the Fuzzy Logic Toolbox graphical user interface (GUI) tools. A different conception for decision making process, based on the fuzzy approach, is propounded by authors of the paper.The paper is worked out in two sections. Description about the Fuzzy Logic Tool box is done in the first section.Illustration with an introductory example concludes the second section. Based on various assumptions the authors construct the rule statements which are then converted into fuzzy rules and the GUI tools of the Fuzzy Logic Toolbox built using MATLAB numeric computing environment is used to construct a fuzzy inference system for this process.The output membership functions are expected to be fuzzy sets in Mamdani-type inference.Defuzzification of fuzzy set for each output variable generated after the aggregation process has to be carried out. Application of information technology for Decisions in today's environment which is highly competitive are undeniable principles of organizations and helps managers in making useful decisions meaningfully.

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Periodical:

Advanced Materials Research (Volumes 984-985)

Pages:

425-430

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.984-985.425

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Online since:

July 2014

Authors:

Thangavel Ramya*, A.C. Kannan, R.S. Balasenthil, B. Anusuya Bagirathi

Keywords:

Decision-Making, Fuzzy Inference System (FIS), Fuzzy Logic (FL), Graphical User Interface (GUI) Tools, Mamdani’s Fuzzy Inference Method, MATLAB

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* - Corresponding Author

References

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