{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:16:47Z","timestamp":1777702607713,"version":"3.51.4"},"reference-count":0,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"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":[[2014,4]]},"abstract":"<jats:p>\n                    In the present work, we applied a new control strategy of power systems based on a technique for classifying areas of an electrical network (generators, lines, etc.) taking into account both margins variations of variables given state and secondly, the impact of various faults each weighted by its probability of occurrence. Indeed, this technique, designated by fuzzy bi-clustering, was established by reference to a database, character matrix [M\n                    <jats:sub>B<\/jats:sub>\n                    ], lines established by the events EV&lt;\n                    <jats:sub>&gt;i<\/jats:sub>\n                    weighted by their probabilities and columns by state variables selected \u03b4\n                    <jats:sub>i<\/jats:sub>\n                    (total load angle).\n                  <\/jats:p>","DOI":"10.3233\/ifs-130865","type":"journal-article","created":{"date-parts":[[2019,12,2]],"date-time":"2019-12-02T18:26:26Z","timestamp":1575311186000},"page":"1857-1868","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["New fuzzy bi-clustering technique applied to the voltage stabilization of an electrical network"],"prefix":"10.1177","volume":"26","author":[{"given":"K.","family":"Jema\u00ef","sequence":"first","affiliation":[{"name":"Department of Electromechanical Engineering, High Institute of Applied Sciences and Technology, ISSAT-Gab\u00e9s, Tunisia"}]},{"given":"H.","family":"Trabelsi","sequence":"additional","affiliation":[{"name":"National School of Engineers of Sfax ENIS, Tunisia"}]},{"given":"A.","family":"Ouederni","sequence":"additional","affiliation":[{"name":"Department of Electromechanical Engineering, High Institute of Applied Sciences and Technology, ISSAT-Gab\u00e9s, Tunisia"}]}],"member":"179","published-online":{"date-parts":[[2014,1]]},"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-130865","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-130865","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:36:24Z","timestamp":1777455384000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/IFS-130865"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,1]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2014,4]]}},"alternative-id":["10.3233\/IFS-130865"],"URL":"https:\/\/doi.org\/10.3233\/ifs-130865","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,1]]}}}