A crucial component of an intelligent system is its knowledge base that contains knowledge about a problem domain. Knowledge base development involves domain analysis, context space definition, ontological specification, and knowledge acquisition, codification and verification. Knowledge base anomalies can affect the correctness and performance of an intelligent system. In this chapter, we desc...

The paper deals with the problem of knowledge granularity in case of building intelligent systems. The origin of the problem is discussed, some knowledge classifications are presented, next the links between types of knowledge and knowledge granularity are shown. In the last part of the paper the question of knowledge granularity types and their usage in intelligent systems is presented and dis...

In this paper, a Bayesian Network (BN) based system is presented for providing clinical decision support to healthcare practitioners in rural or remote areas of India for young infants or children up to the age of 5 years. The government is unable to appoint child specialists in rural areas because of inadequate number of available pediatricians. It leads to a high Infant Mortality Rate (IMR). ...

 Purpose: Strategic decision-making plays an important role in organizational functions and its effectiveness. As a result, the aim of this study was to identifying and analyzing the dimensions and components of strategic decision-making for the managers of education regions. Methodology: This study in terms of purpose was applied and in terms of implementation method was mixed (qualitative an...

fuzzy expert systems are one of the most practical intelligent models with the high potential for managing uncertainty associated to the medical diagnosis. in this paper, a fuzzy inference system (fis) for diagnosing of acute lymphocytic leukemia in children has been introduced. the fuzzy expert system applies mamdani reasoning model that has high interpretability to explain system results to e...

The intelligent agents' research team of the Department of System theory and Design (DSTD) lead by prof. Janis Grundspenkis and assistant prof. Egons Lavendelis is working in the rapidly developing branch of artificial intelligence systems – intelligent agents and multi-agent systems. The theoretical research includes the following directions. Agent interaction protocols for different purposes,...

The purpose of this paper is to describe a webbased intelligent tutoring system (ITS) framework. A formal model of ITS compose of an user environment and pedagogical environment is presented, which represents domain knowledge based on ontologies to improve the sharing and reusing of teaching materials. The system constructs the user environment based on users’ knowledge levels, psychology chara...

This paper deals with the issues of combining Web-based decision aid techniques and technologies for international marketing planning and investigating the value of such integration. Firstly, a Web-enabled hybrid intelligent software system integrating Web-based knowledge automation, fuzzy logic and online databases for international marketing decision making is presented. Secondly, the evaluat...