2009
DOI: 10.1016/j.fss.2009.01.012
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On the relation between fuzzy max-Archimedean t-norm relational equations and the covering problem

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Cited by 51 publications
(31 citation statements)
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“…Please refer to Theorem 2 of [35] for the arithmetic mean; page 187 of [19] or Corollary 2 of [22] for the continuous Archimedean t-norm, and Theorem 2 of [39] for the ''fuzzy and'' with c<1. . Please refer to Markovskii [26], Li and Fang [19] and Lin [22] for algorithms for solving the covering problem. …”
Section: Zero-or-greatest Property Of Minimal Solutionsmentioning
confidence: 99%
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“…Please refer to Theorem 2 of [35] for the arithmetic mean; page 187 of [19] or Corollary 2 of [22] for the continuous Archimedean t-norm, and Theorem 2 of [39] for the ''fuzzy and'' with c<1. . Please refer to Markovskii [26], Li and Fang [19] and Lin [22] for algorithms for solving the covering problem. …”
Section: Zero-or-greatest Property Of Minimal Solutionsmentioning
confidence: 99%
“…Since then, FREs based on various compositions have been investigated. Some commonly compositions include max-min [4,5,12,18,30,32,40], max-product [3,23,25,26,31,36], max-Archimedean t-norm [22,34,37], max-t-norm [29,33] and maxarithmetic mean [16,35] compositions. Di Nola et al [8] indicated that if the solvability of max-continuous t-norm FREs is assumed, then the solution set for the FREs can be fully determined from a unique greatest solution and all minimal solutions, and the number of minimal solutions is always finite (see also [6,12]).…”
Section: Introductionmentioning
confidence: 99%
“…Further, Markovskii proved that minimal solutions of system of equations with max-product composition correspond to irredundant coverings. Lin [17] extended Markovskii's work to fuzzy relational equations with max-Archimedean-t-norm composition. Further, Lin [18] investigated fuzzy relational equations with u-norm and transformed the problem of solving a system of fuzzy relational equations into covering problem.…”
Section: Introductionmentioning
confidence: 98%
“…In fact, fuzzy relational equations can be categorized based on many different compositions. Some common compositions include max-min [4,7,12,25], max-product [7,23], max-Archimedean tnorm [2,4,7,11,17,19], inf-α [7,15,16] and inf-α T [2,7,30] compositions. Wu [29] and Di Nola et al [6] found that in fuzzy relational calculus and reasoning inf-α composition is better.…”
Section: Introductionmentioning
confidence: 99%
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