The paper introduces a theory of granular computing based on formal theory of fuzzy logic in narrow sense with evaluated syntax.

The enterprise image is the general impression that the public gets in association with an enterprise directly. In the imformation age, the emergency of e-commerce provides a new way for the construction of enterprise image by the help of network technology. However, because of its abstraction, intangiblity, and complexity, it is become diffcult to get to know the enterprise image all-round. In...

Granular computing (GrC) has emerged as one of the fastest growing information processing paradigm in computational intelligence and human-centric systems. It has been gaining popularity in the past ten years. GrC is often loosely defined as an umbrella term to cover any theories, methodologies, techniques, and tools that make use of granules in complex problem solving. As a new paradigm for th...

Several approaches have been proposed to model spatiotemporal phenomena at multiple LoDs, in particularly, under the granular computing research area, where a granularities-based model was proposed. Such model stands out from the related literature, but has two major limitations. On one hand, it has difficulties for describing regions, intervals of time, among others complex descriptions, and o...

Real-world decision making typically involves the three options of acceptance, rejection and non-commitment. Three-way decisions can be motivated, interpreted and implemented based on the notion of information granularity. With coarse-grained granules, it may only be possible to make a definite decision of acceptance or rejection for some objects. A lack of detailed information may make a defin...

Mining association rules from databases is a time-consuming process. Finding the large item set fast is the crucial step in the association rule algorithm. In this paper we present a fast association rule algorithm (Bit-AssoRule) based on granular computing. Our Bit-AssocRule doesn’t follow the generation-and-test strategy of Apriori algorithm and adopts the divide-and-conquer strategy, thus av...

Granular Computing becomes increasingly popular in modeling of intelligent systems. Granulation of information is inherent in human thinking and reasoning processes. Granular Computing provides an information processing framework where interactive computation and operations are performed on information granules, and is based on the realization that precision is sometimes expensive and/or not mu...

As an effective tool for data representation and processing, granular computing has been incorporated into formal decision contexts finding reducts to achieve the task of mining rules. However, classification performance rules not evaluated, this type method is suitable dynamic data. To solve problem, current study updates evaluates obtained in terms performance. Concretely, we first give a the...