The two most important models of inferencing in approximate reasoning with fuzzy sets are Zadeh’s Compositional Rule of Inference (CRI) and Similarity Based Reasoning (SBR). It is known that inferencing in the above models is resource consuming (both memory and time), since these schemes often consist of discretisation of the input and output spaces followed by computations in each point. Also ...

grid computing is a term referring to the combination of computer resources from multiple administrative domains to reach a common computational platform. mobile computing is a generic word that introduces using of movable, handheld devices with wireless communication, for processing data. mobile computing focused on providing access to data, information, services and communications anywhere an...

Imprecise inference models the ability to infer sets of values or information chunks. Imprecise database inference is just as important as precise inference. In fact, it is more prevalent than its precise counterpart even in precise databases. Analyzing the extent of imprecise inference is important in knowledge discovery and database security. Imprecise inference analysis can be used to \mine"...

This paper proposes a hardware model that provides new fire detection and control mechanism with the interface of artificial neural network and fuzzy logic. This work is based on the integration of hardware module and implementation of artificial neural fuzzy inference system (ANFIS). The hardware consists of temperature sensor, smoke sensor, flame detector and a microcontroller unit. The senso...

The paper presents the design of municipal creditworthiness parameters. Municipal creditworthiness modelling is realized by fuzzy logic based systems. Therefore, current designs of hierarchical structures of Mamdanitype fuzzy inference systems and their analysis are introduced. Key-Words: Municipal creditworthiness, Mamdani-type fuzzy inference systems, hierarchical structures of fuzzy inferenc...

Several factors may contribute to the structural failure of cast and ductile iron water mains, the most important of which is considered to be corrosion. The ANSI/AWWA C105/A21.5–99 10-point scoring (10-P) method is commonly used to predict corrosivity potential of a given soil sample using certain soil properties. The 10-P and other scoring methods use binary logic to classify the soil either ...

This paper is concerned with proposing the fuzzy cognitive map (FCM)-driven inference ampli®cation mechanism in the ®eld of web-mining. As the recent advent of the Internet, most of the modern ®rms are now geared towards using the web technology in their daily as well as strategic activities. The web-mining technology provides them with unprecedented ability to analyze web-log data, which are s...

the supplier selection is a multi-criteria decision making which consist both qualities and quantities metrics. a lot of investigations have been published in the supplier selection area and, most of the proposed models focused on manufacturing environments and a few papers have been allocated for service industries. proposed system utilizes new method that transfer the house of quality (hoq) a...

We present a prototype for implementing a framework for handling temporal information using the CTCN (Causal Temporal Constraint Networks) model as the representational schema. In this prototype, named FTAE (Fuzzy Temporal Analysis of Events), the information is structured—according to its characteristics and temporal granularity—in terms of different interpretation contexts that are connected ...