{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:23:31Z","timestamp":1777703011033,"version":"3.51.4"},"reference-count":40,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2019,4,10]],"date-time":"2019-04-10T00:00:00Z","timestamp":1554854400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2019,4,11]]},"abstract":"<jats:p>In this paper, we propose the accommodation of the semantic-based interpretability in evolutionary linguistic fuzzy controller through an overlap-based encoding strategy for the triangular membership function (MF) parameters. With this strategy, the coverage and the distinguishability aspect of the fuzzy partitions are guaranteed during the evolution. The idea behind this proposal is that the set of the membership functions forming the fuzzy partition are defined as overlapped functions instead of separate functions subjected to some constraints as the most previous works do. To test the design technique, simulations were performed to optimize direct-drive DC motor fuzzy controller. Simulation results show that fuzzy partition interpretability is guaranteed and the evolved FLC exhibits high performances in slow and fast tracking, as compared with the conventional PD controller.<\/jats:p>","DOI":"10.3233\/jifs-18637","type":"journal-article","created":{"date-parts":[[2019,4,12]],"date-time":"2019-04-12T10:43:25Z","timestamp":1555065805000},"page":"3765-3778","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["On accommodating the semantic-based interpretability in evolutionary linguistic fuzzy controller"],"prefix":"10.1177","volume":"36","author":[{"given":"Hassina","family":"Megherbi","sequence":"first","affiliation":[{"name":"Electrical Engineering Department, Mohamed Khider University, Biskra, Algeria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmed Chaouki","family":"Megherbi","sequence":"additional","affiliation":[{"name":"Identification, Command, Control and Communication Laboratory, Mohamed Khider University, Biskra, Algeria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Khier","family":"Benmahammed","sequence":"additional","affiliation":[{"name":"Intelligent Systems Laboratory, Ferhat Abbes University, Setif, Algeria"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,4,10]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2010.10.001"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-84628-469-4"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2016.2622234"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2016.2616904"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2551039"},{"key":"e_1_3_1_7_2","doi-asserted-by":"crossref","unstructured":"M.Wang J.Qiu and G.G.Feng Finite frequency memory output feedback controller design for T-S fuzzy dynamical systems IEEE Transactions on Fuzzy Systems (2018).","DOI":"10.1109\/TFUZZ.2018.2821654"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2498522"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-17400"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1002\/9781118535608"},{"issue":"2","key":"e_1_3_1_11_2","first-page":"26","article-title":"Genetic algorithms for fuzzy controllers","volume":"6","author":"Karr C.","year":"1991","unstructured":"C.Karr, Genetic algorithms for fuzzy controllers, AI Expert 6(2) (1991), 26\u201333.","journal-title":"AI Expert"},{"key":"e_1_3_1_12_2","unstructured":"M.Valenzuela-Rendon The fuzzy classifier system: A classifier system for continuously varying variables 4th International Conference on Genetic Algorithms (ICGA\u201991) 1991 pp. 346\u2013353."},{"key":"e_1_3_1_13_2","unstructured":"P.Thrift Fuzzy logic synthesis with genetic algorithms 4th International Conference on Genetic Algorithms (ICGA\u201991) 1991 pp. 509\u2013513."},{"key":"e_1_3_1_14_2","first-page":"114","article-title":"Optimum design of fuzzy logic controllers using genetic algorithms","volume":"1","author":"Pham D.T.","year":"1991","unstructured":"D.T.Pham and D.Karaboga, Optimum design of fuzzy logic controllers using genetic algorithms, Journal of Systems Engineering 1 (1991), 114\u2013118.","journal-title":"Journal of Systems Engineering"},{"key":"e_1_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2017.2718491"},{"key":"e_1_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-141160"},{"key":"e_1_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.118"},{"key":"e_1_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2009.2034529"},{"key":"e_1_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2009.2038150"},{"key":"e_1_3_1_20_2","volume-title":"Advances in Intelligent Systems and Computing","author":"Melin P.","year":"2018","unstructured":"P.Melin, O.Castillo, J.Kacprzyk, M.Reformat and W.Melek, (eds), Fuzzy Logic in Intelligent System Design. Advances in Intelligent Systems and Computing, vol 648. Springer, 2018,"},{"key":"e_1_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.1109\/3477.809036"},{"key":"e_1_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0888-613X(96)00070-9"},{"key":"e_1_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/3477.678632"},{"key":"e_1_3_1_24_2","doi-asserted-by":"publisher","DOI":"10.1109\/3468.736369"},{"key":"e_1_3_1_25_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2008.05.016"},{"key":"e_1_3_1_26_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2004.839670"},{"key":"e_1_3_1_27_2","doi-asserted-by":"publisher","DOI":"10.1109\/91.928739"},{"key":"e_1_3_1_28_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2011.03.004"},{"key":"e_1_3_1_29_2","doi-asserted-by":"crossref","unstructured":"P.Pulkkinen A multiobjective genetic fuzzy system for obtaining compact and accurate fuzzy classifiers with transparent fuzzy partitions 8th International Conference Machine Learning and Applications Miami Beach FL 2009 pp. 89\u201394.","DOI":"10.1109\/ICMLA.2009.20"},{"key":"e_1_3_1_30_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2009.2038712"},{"key":"e_1_3_1_31_2","unstructured":"G.E.Tsekouras J.Tsimikas C.Kalloniatis C.Kalloniatis and S.Gritzalis Interpretability constraints for fuzzy modeling implemented by constrained particle swarm optimization IEEE Transactions on Fuzzy Systems PP(99) (2017) 1\u20131. DOI.10.1109\/TFUZZ.2017.2774187"},{"key":"e_1_3_1_32_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2010.2041008"},{"key":"e_1_3_1_33_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2486779"},{"key":"e_1_3_1_34_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2008.01.006"},{"key":"e_1_3_1_35_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2010.11.007"},{"key":"e_1_3_1_36_2","doi-asserted-by":"crossref","unstructured":"C.Mencar G.Castellano and A.M.Fanelli Distinguishability quantification of fuzzy sets Information Sciences 177 (2007) 130\u2013149.","DOI":"10.1016\/j.ins.2006.04.008"},{"key":"e_1_3_1_37_2","doi-asserted-by":"publisher","DOI":"10.1109\/72.159070"},{"key":"e_1_3_1_38_2","volume-title":"Essentials of fuzzy modeling and control","author":"Yager R.R.","year":"1994","unstructured":"R.R.Yager and D.P.Filev, Essentials of fuzzy modeling and control, Wiley-Interscience, New York, NY, USA, 1994."},{"key":"e_1_3_1_39_2","doi-asserted-by":"publisher","DOI":"10.3233\/FI-1998-35123403"},{"key":"e_1_3_1_40_2","doi-asserted-by":"crossref","unstructured":"T.Back Selective pressure in evolutionary algorithms: A characterization of selection mechanisms 1st Conference on Evolutionary Computing 1994 pp. 57\u201362.","DOI":"10.1109\/ICEC.1994.350042"},{"key":"e_1_3_1_41_2","doi-asserted-by":"crossref","unstructured":"E.Galvan-Lopez J.Mcdermott M.Oneill and A.Brabazon Towards an understanding of locality in genetic programming 12th Annual Conference on Genetic and Evolutionary Computation 2010 pp. 901\u2013908.","DOI":"10.1145\/1830483.1830646"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-18637","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-18637","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-18637","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:37:23Z","timestamp":1777455443000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-18637"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,10]]},"references-count":40,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2019,4,11]]}},"alternative-id":["10.3233\/JIFS-18637"],"URL":"https:\/\/doi.org\/10.3233\/jifs-18637","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4,10]]}}}