{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T18:10:36Z","timestamp":1759342236632},"reference-count":21,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["New Math. and Nat. Computation"],"published-print":{"date-parts":[[2020,3]]},"abstract":"<jats:p> It is much more practical to use the [Formula: see text]-norm than the minimum in defining the fuzzy graph. Hence, the concept of [Formula: see text]-fuzzy graph was introduced by Mordeson et\u00a0al. in [J. N. Mordeson and S. Mathew, [Formula: see text]-norm Fuzzy Graphs, New Mathematics and Natural Computation 14(1) (2018) 129\u2013143]. In this paper, we concentrate on the relatively new concept of fuzzy adjacency matrix of that [Formula: see text]-fuzzy graphs. The purpose of this paper is to further develop a product of this fuzzy adjacency matrix based on [Formula: see text]-fuzzy graphs. Moreover, two kinds of Boolean matrix are defined and relation between Normal Boolean matrix, product of adjacency matrix and 1-level cut Boolean matrix is obtained. <\/jats:p>","DOI":"10.1142\/s179300572050009x","type":"journal-article","created":{"date-parts":[[2019,9,6]],"date-time":"2019-09-06T03:53:35Z","timestamp":1567742015000},"page":"143-161","source":"Crossref","is-referenced-by-count":4,"title":["Results on t-Fuzzy Graphs"],"prefix":"10.1142","volume":"16","author":[{"given":"R. A.","family":"Borzooei","sequence":"first","affiliation":[{"name":"Department of Mathematics, Shahid Beheshti University, G. C., Tehran, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"B.","family":"Sheikh Hoseini","sequence":"additional","affiliation":[{"name":"Department of Mathematics, Shahid Beheshti University, G. 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