A survey on fuzzy relational equations, part I: classification and solvability

  • Authors:
  • Pingke Li;Shu-Cherng Fang

  • Affiliations:
  • Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, USA 27695;Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, USA 27695 and Department of Mathematical Sciences, Tsinghua University, Beijing, China 1 ...

  • Venue:
  • Fuzzy Optimization and Decision Making
  • Year:
  • 2009

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Abstract

Fuzzy relational equations play an important role in fuzzy set theory and fuzzy logic systems, from both of the theoretical and practical viewpoints. The notion of fuzzy relational equations is associated with the concept of "composition of binary relations." In this survey paper, fuzzy relational equations are studied in a general lattice-theoretic framework and classified into two basic categories according to the duality between the involved composite operations. Necessary and sufficient conditions for the solvability of fuzzy relational equations are discussed and solution sets are characterized by means of a root or crown system under some specific assumptions.