{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T12:58:14Z","timestamp":1769777894447,"version":"3.49.0"},"reference-count":30,"publisher":"SAGE Publications","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2023,5,4]]},"abstract":"<jats:p>This paper discusses a new approximate solution of a class of fully fuzzy linear systems A \u02dc x \u02dc = b \u02dc in which the coefficient matrix A \u02dc is a positive fuzzy matrix. The original fuzzy linear systems is extended into simple crisp linear equation using the obtained approximate multiplication of positive fuzzy number and near zero fuzzy number. Two cases are analysed: (a) the unknown vector x \u02dc is a near zero fuzzy vector with positive mean value; (b) the unknown vector x \u02dc is a near zero fuzzy vector with negative mean value. Two computing models are established and respective expression of the solution to fully fuzzy linear system are derived, and the sufficient condition for the existence of strong fuzzy solution are analyzed correspondingly. Some numerical examples are given to illustrated our proposed method.<\/jats:p>","DOI":"10.3233\/jifs-222421","type":"journal-article","created":{"date-parts":[[2022,11,22]],"date-time":"2022-11-22T11:01:41Z","timestamp":1669114901000},"page":"8043-8052","source":"Crossref","is-referenced-by-count":3,"title":["Near zero fuzzy solution of fully fuzzy linear systems1"],"prefix":"10.1177","volume":"44","author":[{"given":"Xiaobin","family":"Guo","sequence":"first","affiliation":[{"name":"College of Mathematics and Statistics, Northwest Normal University, China"}]},{"given":"Kun","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Longdong University, China"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-222421_ref1","first-page":"638","article-title":"Minimal solution of generaldual fuzzy linear systems","volume":"29","author":"Abbasbandy","year":"2008","journal-title":"Chaos, Solitions and 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