Complex fuzzy logic is a postulated logic system that is isomorphic to the complex fuzzy sets
recently described in a previous paper. This concept is analogous to the many-valued logics …

Several fuzzy logic programming systems that deal with fuzzy sets as data in programs have
been developed, but they lack the fundamentals of a theorem prover, whence the …

This is volume 1 of the two-volume set Soft Computing and Its Applications. This volume
explains the primary tools of soft computing as well as provides an abundance of working …

Conceptual Graphs (CG) are a graph-based knowledge representation and reasoning
formalism; fuzzy Conceptual Graphs (fCG) constitute an extension that enriches their …

Logic programming, object-oriented programming and soft computing have provided
advantageous methodologies and techniques for computer-based problem solving. This …

In this volume, first we formulate a framework of fuzzy types to represent both partial truth
and uncertainty about concept and relation types in conceptual graphs. Like fuzzy attribute …

Like other kinds of information, types of objects in the real world are often found to be filled
with uncertainty and/or partial truth. It may be due to either the vague nature of a type itself or …

This paper proposes probabilistic default reasoning as a suitable approach to uncertain
inheritance and recognition for fuzzy and uncertain object‐oriented models. The uncertainty …

Conceptual graphs and fuzzy logic are two logical formalisms that emphasize the target of
natural language, where conceptual graphs provide a structure of formulas close to that of …

Uncertain object-oriented logic programming is a combination of logic programming, object-
oriented programming and uncertainty logic to exploit the advantages of all three disciplines …