Fuzzy sets in approximate reasoning, part 1: inference with possibility distributions
Fuzzy Sets and Systems - Special memorial volume on foundations of fuzzy reasoning
Fuzzy sets and fuzzy logic: the foundations of application—from a mathematical point of view
Fuzzy sets and fuzzy logic: the foundations of application—from a mathematical point of view
Residuation in fuzzy algebra and some applications
Fuzzy Sets and Systems
Fuzzy logic: mathematical tools for approximate reasoning
Fuzzy logic: mathematical tools for approximate reasoning
Fuzzy Relation Equations and Their Applications to Knowledge Engineering
Fuzzy Relation Equations and Their Applications to Knowledge Engineering
The concept of LFLC 2000: its specificity, realization and power of applications
Computers in Industry
Dioïds and semirings: Links to fuzzy sets and other applications
Fuzzy Sets and Systems
Information Sciences: an International Journal
Invertible matrices and semilinear spaces over commutative semirings
Information Sciences: an International Journal
Social interactions in Ambient Intelligent environments
Journal of Ambient Intelligence and Smart Environments
Signatures: Definitions, operators and applications to fuzzy modelling
Fuzzy Sets and Systems
Fuzzy relation equations and subsystems of fuzzy transition systems
Knowledge-Based Systems
Resolution of fuzzy relational equations - Method, algorithm and software with applications
Information Sciences: an International Journal
Information Sciences: an International Journal
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In this paper, we have developed an algebraic theory, suitable for the analysis of fuzzy systems. We have used the notions of semiring and semimodule, introduced the notion of semilinear space, have given numerous examples of them and defined also the notions of linear dependence and independence. We have shown that the composition operation, which plays an essential role in the analysis of fuzzy systems because of its role in the compositional rule of inference, can be interpreted as a homomorphism between special semimodules. Consequently, this operation is, in a certain sense, a linear operation. This property formally explains why fuzzy systems are attractive for applications.