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Searching for relevant documents in large sets of documents is one of the key tasks in the areas of semantic web and knowledge technologies. This paper deals with analysis and design of improvement for information retrieval (IR) using specific conceptual model automatically created from semantically non-annotated set of text documents. This conceptual model combines locally applied Formal Concept...
Risk management of engineering project is a complicated uncertainty problem. Based on the theory of set pair analysis (SPA), stochastic simulation of triangular fuzzy numbers, herein, a novel analysis model for the project risk management was discussed. A concept of multi-element connection number of the set pair was introduced to express the hierarchy and fuzziness of membership between the evaluation...
The method that based on semi-structural decision-making fuzzy analysis theory to establish fuzzy optimization model for complexity decision making is with such features: accurate results and widely applications, while with a complicated computing procedure, and low efficiency in manual computing. For those above, auxiliary computing system of semi-structural decision-making fuzzy analysis was developed...
A grid system is a dynamic and distributed environment which contains mass entities and resources, and is involved in large-scale data exchanges and resource sharing. Thus in grid system, information security is a prime concern. Trust mechanism is a main part of grid security. Taking the fuzziness of behavior trust into consideration, this paper introduces fuzzy theory to grid trust and proposes a...
Logistics center location is a key step of logistics system optimization, so it is important to select a proper method to assess it. First, the index system for location evaluation of logistics center is constructed by analyzing influencing factors of logistics center location. Then, the fuzzy matter-element model based on grey relevancy analysis is built in view of the fuzziness and incompatibility...
Information system is a large-scale complex system. It includes many uncertain factors, as software, hardware, people and so on. As a result, information systems security risk is related to many ambiguous factors, what are difficult to measure, with ambiguity. This paper introduces the information system security risk generating mechanism, and based on the risk assessment of factors, builds information...
By using method of fuzzy mathematics to quantitatively determine fuzzy relationship between samples, the fuzzy clustering analysis is able to reflect the world objectively and accurately. In this paper, combing the ideas of quotient space theory, hierarchical structure and fuzzy synthetic evaluation, a new model of fuzzy clustering analysis is proposed based on quotient space, which uses theory of...
While simply introducing the emergency rescue command system, this article analyzes the deficiency of the quality evaluation methods of the common software used for evaluating the rescue system. Based on this, more scientific, accurate, comprehensive and objective multi-level fuzzy comprehensive evaluation methods are brought forward; aiming at the characteristics of the rescue system, evaluation...
Large numbers of practices show that software process modeling technique can be effectively used to describe and analyze software process and offer opportunity to discover process improvements. There are many kinds of software process modeling method, so it is significant to make reasonable evaluation of software process modeling methods which can help developers choose the most appropriate modeling...
Fuzzy linear regression model with crisp input, fuzzy output is investigated. A least absolute deviation approach, by introducing and applying a new metric on the space of fuzzy numbers, is developed. In addition, a new capability index is proposed to evaluate the proposed model.
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