This paper proposes a general discussion of the handling of imprecise and uncertain information in temporal reasoning in the framework of fuzzy sets and possibility theory. The introduction of fuzzy features in temporal reasoning can be related to different issues. First, it can be motivated by the need of a gradual, linguistic-like description of temporal relations even in the face of complete...

In the second part of the overview reasoning with fuzzily de ned quanti ers and applications are presented Possibility based reasoning This work has been supported by the International Projects of the Flemish Community Cooperation with P R China No is summarized in detail The widely used quanti er extension principle and various reasoning schemas derived from it are discussed Some disad vantage...

Humans’ representation in nature language about geographic phenomena is usually qualitative rather than quantitative. Qualitative spatial reasoning provides an approach which is considered to be closer to the representation. Commercial GIS software are confronted with a challenge that the software should be equipped with artificial intelligent functions like qualitative spatial reasoning for mo...

In the last few years there has been a large effort for analysing the computational properties of reasoning in fuzzy Description Logics. This has led to a number of papers studying the complexity of these logics, depending on their chosen semantics. Surprisingly, despite being arguably the simplest form of fuzzy semantics, not much is known about the complexity of reasoning in fuzzy DLs w.r.t. ...

The practical realization of the Fuzzy Logic Controler (FLC) usually depends on the application. Using the parameter-depended group of fuzzy operators like distance based operators in the approximate reasoning process the FLC components can be adapted to achieve better results. The program language environment, applied by simulation, supports the choosing of suitable fuzzy operators and their p...

This paper proposes a way of incorporating fuzzy temporal reasoning within diagnostic reasoning. Disorders are described as an evolving set of necessary and possible manifestations. The expected duration of each manifestation and the interval of time expected to occur between the beginning of any two manifestations are modeled by fuzzy sets. The patient information about the beginning and durat...

Generalized modus ponens (GMP) is a basic model of approximate reasoning. GMP in fuzzy propositions called ponen (FMP) and it intuitionistic (IFMP) when are generalized to propositions. In this paper, we aim investigate reasoning methods for with mixture fuzzy/intuitionistic information. For mixed types GMP, present two solve problems based on the triple I method (TIM). One transform problem in...

In order to extend capability of spiking neural P systems (SN P systems) to represent fuzzy knowledge and further to process fuzzy information, we propose an extended spiking neural P system in this paper, called fuzzy spiking neural P system (FSN P system). In the FSN P system, two types of neurons (fuzzy proposition neuron and fuzzy rule neuron), certain factor and new spiking rule are consid...

As an extension of the traditional modal logic, the fuzzy first-order modal logic is discussed in this paper. A description of fuzzy first-order modal logic based on constant domain semantics is given, and a formal system of fuzzy reasoning based on the semantic information of models of first-order modal logic is established. It is also introduced in this paper the notion of the satisfiability ...

K e y w o r d s C o m p e n s a t o r y , Fuzzy similarity measure, Inverted wedge system, Backpropagation algorithm. 1. I N T R O D U C T I O N Recently, the neural fuzzy approach to system modeling has become a popular research topic [110]. Moreover, the neural fuzzy method possesses the advantages of both the pure neural and the fuzzy methods; it brings the low-level learning and computation...