{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T22:06:29Z","timestamp":1648591589330},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2021,10,14]],"date-time":"2021-10-14T00:00:00Z","timestamp":1634169600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,14]]},"abstract":"<jats:p>This short note aims to make some modification for improving the results presented in [1]. A. Ghodousian et al. discussed the resolution of a system of max-Dubois-Prade fuzzy relation equations based on their proposed index sets Ji, i \u2208 I. It is found that not every e \u2208 E = J1 \u00d7 J2 \u00d7 \u22ef \u00d7 Jm corresponds to a solution. To overcome this flaw, we modify the expression of the index sets, denoted by J=i , i \u2208 I. Based on the modified index sets, resolution of the max-Dubois-Prade fuzzy relation equations becomes easier, regarding the computational cost.<\/jats:p>","DOI":"10.3233\/faia210192","type":"book-chapter","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T21:52:38Z","timestamp":1634766758000},"source":"Crossref","is-referenced-by-count":0,"title":["Short Note on \u201cNonlinear Optimization Problem Subjected to Fuzzy Relational Equations Defined by Dubois-Prade Family of t-Norms\u201d"],"prefix":"10.3233","author":[{"given":"Xiaoling","family":"Liu","sequence":"first","affiliation":[{"name":"School of Mathematics and Statistics, Hanshan Normal University, Chaozhou, China"}]},{"given":"Khizar","family":"Hayat","sequence":"additional","affiliation":[{"name":"Department of Mathematics, University of Kotli, Azad Jammu and Kashmir, Pakistan"}]},{"given":"Xiaopeng","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Hanshan Normal University, Chaozhou, China"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy Systems and Data Mining VII"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA210192","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T13:40:12Z","timestamp":1635169212000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA210192"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,14]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia210192","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,14]]}}}