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This paper introduces five similarity measures, very well known in literature, but not because of using them to compare rules between themselves and choose the most similar one. Rules in knowledge bases are a very specific type of data representation and it is necessary to compare them carefully. The goal of the paper is to analyze the influence of using different similarity measures on the number...
The manufacturing enterprises are currently under great pressures to shorten innovation cycles, grow importance of high-efficiency manufacturing and accommodate new products by building more factories. Discrete manufacturing sectors face a huge array of problems because of its specificity. Knowledge representation is one of the most highlighted troubles. In this case, ontology is a significant knowledge...
Providing financial e-services in the all areas involves taking decisions processes. Existing systems, also multi-agent systems, usually include only one of the earlier mentioned areas, and they are closed systems, available only to a small group of users. In addition, agents' knowledge in these systems is characterized by a certain degree of heterogeneity. Since in the decisive process one final...
A grand challenge in knowledge representation is building the intelligent systems for Science Technology Engineering and Math (STEM) Education. In math education, the intelligent problem solver (IPS) must have sufficient knowledge to solve problems automatically, and their solutions are natural, step-by-step and can be understand by the learners. Besides that, Solid geometry is a hardly subject of...
It is recognized that the semantic space of knowledge is a hierarchical concept network. This paper presents theories and algorithms of hierarchical concept classification by quantitative semantic relations via machine learning based on concept algebra. The equivalence between formal concepts are analyzed by an Algorithm of Concept Equivalence Analysis (ACEA), which quantitatively determines the semantic...
Man-machine interaction, human-robot interaction and robot behavior became an important factor of robotics, since the robotics as a separate research field appeared. Etho robotic is the science, which studies robot habit, which acts as animals or humans. Also it studies human reaction regarding the robot which acts as a dog, ant, or other animals. The paper intends to present a robot behavior model...
The article presents the application of a fuzzy logic in building the trading agents of the a-Trader system. The system supports investment decisions on the FOREX market. The first part of the article contains a discussion related to the use of fuzzy logic as an agents' knowledge representation. Next, the algorithms of the selected fuzzy logic buy-sell decision agents are presented. In the last part...
Diabetes mellitus is a group of metabolic disorders characterized by hyperglycemia resulting from defective secretion and / or insulin action. Biological criteria for diagnosis are established and reviewed by an international committee of experts from the American Diabetes Association. A type of diabetes that was little known caused by physiological consequences such pregnancy, gestational diabetes...
Systematization and generalization of information models classes of the subjects of law and their communication interaction in terms of global use of computerized information systems have been presented in this article. Productive models of knowledge representation in the field of jurisprudence have been described.
Semantic entailment is a fundamental problem in natural language understanding field which has a large number of applications. Knowledge acquisition and knowledge representation are crucial parts in semantic inference strategies. This paper presents a principled approach to semantic entailment problem that builds on a concept-based knowledge representation model (CKR). This model formally defines...
Adverse drug events ADE occur frequently in both ambulatory and inpatient settings and often lead to hospitalization; these events occur more often in the elderly. ADE may result from medication errors at the medication process or from ADE. In this paper we present a new method to improve treatment of Community-acquired pneumonia. We use database of 86 patients to test and validate this approach.
The aim of this paper is to present a new methodology for knowledge representation and reasoning based on generalised fuzzy Petri nets. Recently, this net model has been proposed as a new class of fuzzy Petri nets. The new class extends the existing fuzzy Petri nets by introducing two operators: t-norms and s-norms, which are supposed to function as substitute for the min and max operators. This model...
A model integration mechanism drove by the double factors of event and parameter are proposed in order to improve the meta-decision capability of decision support system. The paper firstly designed a hierarchical model architecture composed of procedure model, compound model and meta-models and then ESP rules which are always used in work flow management were redefined to serve as the base for intellectual...
Doctor usually uses his experience from the clinical practice to confirm a diagnosis and to prescribe an appropriate treatment for a specific patient. The computerized medical reasoning should not only focus on existing medical knowledge but also on physician's previous experiences and new knowledge. Such knowledge and experience are vague and define uncertain relationships between facts and diagnosis...
Effective chronic disease management ensures better treatment and reduces medical costs. Representing knowledge through building an ontology for Electronic Medical Records (EMRs) is important to achieve semantic interoperability among healthcare information systems and to better execute decision support systems. In this paper, an ontology-based EMR focusing on Chronic Disease Management is proposed...
In this paper we perform the analysis of Dempster-Shafer temporalized structure for the construction of more precise decisions based on the expert knowledge valuations. The relation of information precision is defined on the bodies of evidence. Negative inaccuracy is defined as the stream of rational expert knowledge in Dempster-Shafer temporalized structure. The principle of negative inaccuracy is...
As an enabling technology of Web 3.0, semantic web (SW) can be applied to define military knowledge in a machine-understandable and process-effective way, by which better military decision support (MDS) will be achievable. In this paper, SW's core technologies are introduced with abilities analyzed. Based on it, SW's MDS applications are summarized in 3 main fields: cooperative command and control,...
The paper is focused on description of various methods, used in decision support system BPsim.DSS. Paper starts with requirements for effective decision making, points out the role of simulation modeling systems in decision making. Next an abstract organizational-technical process is analyzed, its features mentioned. Paper continues with such process representation as a resource conversion process,...
Due to the sudden, diversity and harmful of the emergency, China's traffic emergency response are facing a lot of difficult, such as lacking decision-making experience, lack of decision-making information, tight for making decision. A decision support system was established for the city traffic emergency control based on Expert system. And the structure of the system was described in detail, focusing...
Available information and analytical models are often critical to making scientific decisions for site-specific crop management. Expert, or domain knowledge, is an intelligent source that also helps this process. This paper discusses the integration of domain knowledge and modelling in site-specific crop management decision making. A web-based spatial decision support system, GZ-IGIS, was developed...
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