Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure
Combination of Fuzzy logic and Genetic Algorithm is becoming popular among researchers in the field. GFT (Genetic Fuzzimetric Technique) is of no exception which merges Fuzzy logic with genetic algorithm to achieve the optimization of the decision making process under uncertainty. Multivariable stru...
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| المؤلف الرئيسي: | |
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| التنسيق: | conferenceObject |
| منشور في: |
2014
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/10725/6583 http://dx.doi.org/10.1109/ICNC.2014.6975887 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://ieeexplore.ieee.org/abstract/document/6975887/ |
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| _version_ | 1864513466180567040 |
|---|---|
| author | Kouatli, Issam |
| author_facet | Kouatli, Issam |
| author_role | author |
| dc.creator.none.fl_str_mv | Kouatli, Issam |
| dc.date.none.fl_str_mv | 2014 2017-11-10T13:20:05Z 2017-11-10T13:20:05Z 2017-11-10 |
| dc.identifier.none.fl_str_mv | 9.78148E+12 http://hdl.handle.net/10725/6583 http://dx.doi.org/10.1109/ICNC.2014.6975887 Kouatli, I. (2014, August). Complexity avoidance using biological resemblance of modular multivariable structure. In Natural Computation (ICNC), 2014 10th International Conference on (pp. 508-513). IEEE. http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://ieeexplore.ieee.org/abstract/document/6975887/ |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | IEEE |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Natural computation -- Congresses |
| dc.title.none.fl_str_mv | Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure |
| dc.type.none.fl_str_mv | Conference Paper / Proceeding info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject |
| description | Combination of Fuzzy logic and Genetic Algorithm is becoming popular among researchers in the field. GFT (Genetic Fuzzimetric Technique) is of no exception which merges Fuzzy logic with genetic algorithm to achieve the optimization of the decision making process under uncertainty. Multivariable structure of any fuzzy rule based system would add complexity when modeling the behavior of the system. The objective of many researchers in the field is to minimize this complexity and enhance the accuracy. The proposed technique is designed to be a modular approach by resembling biological structure where it avoids the complexity instead of minimizing it while attaining acceptable accuracy of the system. After reviewing the mechanism of GFT, a sample application to measure the CRM performance analysis was used as a vehicle to demonstrate the technique. A generic tool termed as Fuzzy Inference Engine (FIE) was built to demonstrate the multivariable modular approach used to implement the CRM performance measurement. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | LAURepo_4a7e63072259727478a69a40f67dd6a5 |
| identifier_str_mv | 9.78148E+12 Kouatli, I. (2014, August). Complexity avoidance using biological resemblance of modular multivariable structure. In Natural Computation (ICNC), 2014 10th International Conference on (pp. 508-513). IEEE. |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/6583 |
| publishDate | 2014 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Complexity Avoidance using Biological Resemblance of Modular Multivariable StructureKouatli, IssamNatural computation -- CongressesCombination of Fuzzy logic and Genetic Algorithm is becoming popular among researchers in the field. GFT (Genetic Fuzzimetric Technique) is of no exception which merges Fuzzy logic with genetic algorithm to achieve the optimization of the decision making process under uncertainty. Multivariable structure of any fuzzy rule based system would add complexity when modeling the behavior of the system. The objective of many researchers in the field is to minimize this complexity and enhance the accuracy. The proposed technique is designed to be a modular approach by resembling biological structure where it avoids the complexity instead of minimizing it while attaining acceptable accuracy of the system. After reviewing the mechanism of GFT, a sample application to measure the CRM performance analysis was used as a vehicle to demonstrate the technique. A generic tool termed as Fuzzy Inference Engine (FIE) was built to demonstrate the multivariable modular approach used to implement the CRM performance measurement.N/AIncludes bibliographical references.IEEE2017-11-10T13:20:05Z2017-11-10T13:20:05Z20142017-11-10Conference Paper / Proceedinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject9.78148E+12http://hdl.handle.net/10725/6583http://dx.doi.org/10.1109/ICNC.2014.6975887Kouatli, I. (2014, August). Complexity avoidance using biological resemblance of modular multivariable structure. In Natural Computation (ICNC), 2014 10th International Conference on (pp. 508-513). IEEE.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttp://ieeexplore.ieee.org/abstract/document/6975887/eninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/65832021-03-19T09:10:12Z |
| spellingShingle | Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure Kouatli, Issam Natural computation -- Congresses |
| status_str | publishedVersion |
| title | Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure |
| title_full | Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure |
| title_fullStr | Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure |
| title_full_unstemmed | Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure |
| title_short | Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure |
| title_sort | Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure |
| topic | Natural computation -- Congresses |
| url | http://hdl.handle.net/10725/6583 http://dx.doi.org/10.1109/ICNC.2014.6975887 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://ieeexplore.ieee.org/abstract/document/6975887/ |