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We discuss a conceptually new extension of our previous works in which we proposed a concept of a consensus reaching support system based on a new, gradual notion of consensus devised in the framework of fuzzy preference relations and a fuzzy majority. Here, first of all, we propose the use of action rules as a tool to generate some advice as to the further running of discussion in the group. Moreover,...
In this paper, the texture property ??coarseness?? is modeled by means of type-2 fuzzy sets, relating representative coarseness measures (our reference set) with the human perception of this texture property. The type-2 approach allows to face both the imprecision in the interpretation of the measure value and the uncertainty about the coarseness degree associated to a measure value. In our study,...
The application of motivation psychology on crowd simulation is an interesting topic. Agents in a crowd should have motivations and behaviours, and make decisions in a certain virtual environment by themselves. A formalization of motivation is presented by fuzzy mathematical methods and a computational motivation model for agents is set up. An agent's local motion within a group is based on Helbing's...
This paper presents a new particle swarm optimization (PSO) algorithm for tuning parameters (weights) of neural networks. The new PSO algorithm is called fuzzy logic-based particle swarm optimization with cross-mutated operation (FPSOCM), where the fuzzy inference system is applied to determine the inertia weight of PSO and the control parameter of the proposed cross-mutated operation by using human...
This paper proposes a method to adapt robot behaviors toward user's perception by human teaching. Human-friendly robotic system should be able to understand the fuzzy linguistic information based on the user's guidance and the environmental conditions. The contextual meaning of fuzzy linguistic information depends on the conditions of the environment. Therefore, user's perception is acquired to evaluate...
Experimental evidence has repeatedly shown that the widely used principle of maximization of expected utility has serious shortcomings. Non-expected utility theory suggests more adequate models. However, in these models utility functions and probabilities are mainly considered as real-valued functions whereas in reality human preferences are imprecise being described in natural language (NL). Nowadays...
Weblog becomes an important channel among people in the digital society. How to operate a successful Weblog is a momentous task. A good or successful Weblog depends on many factors. This paper is to investigate and compare the different influence factors for an effective and successful Weblog. Firstly, a questionnaire with several design factors is going to be distributed and collected from experts...
The paper applies the newly proposed weighted argument systems (WAS) and the associated notion of inconsistency budget. Fuzzy theory and ontological knowledge are used to supply WAS with the required weights, whilst the weighted argument systems provide a beautiful and simple principle to decide which fuzzy logic to use for reasoning, given an argumentation set.
We develop document computing procedures for the analysis of discourse structures within a document, represented by hierarchical document signatures. A signature is a string of data characterizing a certain case (e.g. characteristics of a sentence in case of a document). The place of the individual data is fixed within the string, it holds a local value semantics. Fuzzy granulation is a semantic background...
In the framework of AFS (Axiomatic Fuzzy Sets) theory, We propose A novel weight fuzzy clustering algorithm, which is totally different from the traditional clustering algorithm based approaches. The novel weighted fuzzy clustering algorithm has three main advantages: Firstly, the procedures of the proposed algorithm are more transparent and understandable, and the clustering results not only have...
A conceptual possibility-probability based framework is proposed to manage the uncertainties encountered in distribution system reliability. Probability distribution of reliability parameters, the failure rate, the load point outage duration and the power injection of feeder branch are transformed consistently into the corresponding possibilistic distribution function. Under the proposed framework,...
Automatic text summarization is a wide research area. Automatic text summarization is to compress the original text into a shorter version and help the user to quickly understand large volumes of information. There are several ways in which one can characterize different approaches to text summarization: extractive and abstractive from single document or multi document. This paper focuses on the automatic...
In this paper the application effect of fuzzy expert system for diagnosis of computer failures is considered. We propose to define different modes of CS failures by classification characters.
Knowledge management is a critical process in organizations. There may be dependence and feedback among factors of knowledge management performance assessment. In this study, analytic network process (ANP) was adopted to model a multi-criteria knowledge management performance assessment system with dependence and feedback. Due to complexity in assessing knowledge management performance, it is difficult...
Previous studies report unusually high failure in ERP projects. Thus, it is necessary to perform an assessment at the initial stage of an ERP implementation program to identify weaknesses which may lead to project failure. In this paper, a new look at the determinants of organizational readiness to implement an ERP project is presented and using fuzzy analytic network process a practical framework...
The internal physical mechanism of actual sound environment system is often difficult to recognize analytically from the bottom-up viewpoint, and it contains unknown structural characteristics. Furthermore, the observations in the sound environment often contain fuzziness due to several causes. In this paper, an adaptive method for estimating the specific signal for sound environment system with unknown...
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