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The paper presents the structure of decision support system for electrical grid equipment operation on the base of its state assessment based on aggregated available data concerning object of research by means of neuro fuzzy inference. Technical state assessment of both separate elements, notably electrical equipment (based on fuzzy logics methods) and integrated consolidated objects (by means of...
Currently due to the complexity of problems, several researchs are interested in developing solutions for making decision strategies. The evolution of decision support systems (DSS) showed that there is an evolution of DSS from a classical one to an intelligent DSS or knowledge based DSS. Some of these knowledge can be generated using the Knowledge Discovery from Data process (KDD). Our research focus...
Cognitive radio (CR) is viewed as a promising technology that can bring about remarkable improvement in spectrum utilization. Different cognition cycles have been proposed to direct basic research areas in CR. However, most of the existing studies only emphasize on its functional or operational aspects regardless of the intelligent core, the essential aspect, and the external aspect of cognition cycle...
On the basis of comprehensive analysis of existing buy site, it proposes a knowledge library structure of group buying websites, which profit model is based on membership, members' behavior. And providing support to the group buying site decision-making by using data mining technology to analyze the conduct of its members and to predicting further member's behavior. This study is not only extremely...
Semantic web comes out with the vision of making human readable information to be machine processable. Ontology, the core of semantic web, with concept instantiations serves as a domain knowledge base while semantic web query language provides retrieval of that information. In this paper, we presented a system that populates hotel related information in the ontology and a natural language querying...
The aim of this research is to use a data analysis/mining approach to extract information from a large number of failure equipment notifications, form a fuzzy system that would be capable of learning and optimizing the knowledge from historical evidence, and subsequently use it as a guiding tool in decision making processes.
In order to realize the objective and synthetic evaluation of the feasibility in Low-carbon (LC) project, the paper constructs the knowledge representation system(i.e. attribute value of information system), applies the reduction and the mining rules of the Rough Set Theory, at same the time computing dynamic weight, subjective weight, objective weight are combined with Analytic Hierarchy Process...
According to the current situation in emergency management, this paper aims to solve the problem of difficult in searching needed knowledge in emergency management. From the perspective of knowledge system engineering, this paper conducts an in-depth study on knowledge-mined model of emergency documents and offers an alternative for decision-makers to locate and use emergency document knowledge more...
This is a article of research which bases on the classical granular computing and the Association Rules, focus on the association rules and decision-making rules of the information system. Firstly, defines a association-rule characteristic Information Granule, which can be treated as a sub-definition of the Information Granule, and a association-rule characteristic Information Granularity matirx is...
Warehouse management system (WMS) has been introduced and widely used to increase the competitiveness that provides better control on the warehouse operations since the last decade. However, most of the WMS do not support planning and monitoring the use of warehouse resources but only focus on managing the warehouse operations. The management of warehouse resources planning with incoming customer...
Knowledge map is considered as one of powerful tools for the knowledge management. In this paper, we elucidate the relevant concepts, and propose the definition and characteristics of enterprise knowledge map based on geospace. By synthesizing the existing knowledge acquisition and representation techniques, it suggests the constructive process. Enterprise knowledge and Geospace knowledge are used...
In the knowledge-based economy, business intelligence (BI) and knowledge management (KM) are posed to solve information glut and knowledge sharing to improve decision-making in enterprises. KM and BI are different but interrelated in terms of common foundation, complementarity and synergy. First, this paper gives a brief introduction of BI and KM, and then discusses the relation between them as well...
Small and middle businesses (SMBs) play an increasingly important role, but their decision making process mostly relies on skilled employees which are usually not available. Information systems can help to solve this problem to a certain extent, meanwhile they also cause information explosion or even knowledge overload which confuses the decision makers. As an extended research of intelligent knowledge...
The challenges being thrown to modern world by the need to counteract against malicious software (malware) are going on to increase own importance. This fact stays actual, in spite of obvious great results in improving the efficacy of procedures of malware propagation detection, analysis and updating the bases of signatures and detection rules. The important aspect of this problem is looking for more...
The construction quality risk is one of the important objectives to be controlled, resulting in the progress, of safety and the investment object out of control. The construction quality risk is researched in the paper by risk identification and rough set (RS)-based database technique. Data were collected from the questionnaire feedbacks from different participants (clients, designers, contractors,...
Multi criteria decision making (MCDM) methods help decision makers to make preference decision over the available alternatives. Evaluation and selection of the software packages is multi criteria decision making problem. Analytical hierarchy process (AHP) and weighted scoring method (WSM) have widely been used for evaluation and selection of the software packages. Hybrid knowledge based system (HKBS)...
This paper describes an application of a distributed knowledge-based multi-agent architecture to support automated negotiation between and within virtual enterprises (VE). Considering constraints of traditional negotiation approaches (predetermined protocols as well as hard-coded and non-adaptive strategies), we combine the agent paradigm with ontology-based solutions to overcome these limitations...
In recent years, personal health management has been interested to researchers and healthcare practitioners. Recording and analyzing physiological variations in ordinary life could be especially useful to manage health problems and to care individuals. It is widely pointed out that various vital signs are important indicators used to evaluate the wellness of physical bodies. In this study, an Intelligent-Mamdani...
In sustaining and being competitive in business area, sales and financial is one of the core sector to be managed. Future prediction of sales growth, profit-making opportunities and staff performance tracking are some of the key areas to gain competitive advantages. This study aims at producing a comprehensive sales and financial management framework to be incorporated by organizations with the capabilities...
To deploy emergency resources timely and accurately is the core of emergency logistics research, and to study and develop the relevant intelligent decision supporting system is an effective approach to solving the problem. This paper introduces an intelligent decision supporting system of emergency resources deployment and elaborates on its structure, its reasoning mechanism based on emergency resources...
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