This paper considers the automatic design of fuzzy rule-basedclassification systems based on labeled data. The classification performance andinterpretability are of major importance in these systems. In this paper, weutilize the distribution of training patterns in decision subspace of each fuzzyrule to improve its initially assigned certainty grade (i.e. rule weight). Ourapproach uses a punish...

The license plate recognition system is part of the intelligent transportation system. In the intelligent transportation system, the vehicle image is used as the system input. The first step is to improve the image, after the edge detection, a series of morphological operations are performed to identify the plaque. The main purpose of this research was to increase the importance of plate re...

In this paper we present the architectural concepts of highly complex knowledge based system dubbed as the Universal Knowledge Processing System (UKPS) could be thought of as a Wisdom Machine (WM) capable of solving any problem simple or difficult with the help of its knowledge bases. The Universal Knowledge Processing Machine is in turn formed of several Knowledge Processing Systems (KPS) conn...

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In this paper we present the following view on problem-solving methods for knowledge-based systems: Problem-solving methods describe an efficient reasoning strategy to achieve a goal by introducing assumptions about the available domain knowledge and the required functionality. Assumptions, dynamic reasoning behavior, and functionality are the three elements necessary to characterize a problem-...

A discussion of knowledge and KnowledgeBased design as related to the design of aircraft is presented. The paper discusses the perceived problem with existing design studies and introduces the concepts of design and knowledge for a KnowledgeBased design system. A review of several Knowledge-Based design activities is provided. A Virtual Reality, Knowledge-Based system is proposed and reviewed. ...

When people engage with information, they are often in social groups. This applies, for example, in the case of museum visits, where people typically attend the museum and view the exhibits in small groups. This paper describes a proposed system GM, Group Modeller, which will create group models from a set of individual user models. We discuss the approaches and challenges in terms of common su...

Knowledge Acquisition (KA) Scripts capture typical modification sequences that users follow when they modify knowledge bases. KA tools can use these Scripts to guide users in making these modifications, ensuring that they follow all the ramifications of the change until it is completed. This paper describes our approach to design, develop, and organize a library of KA Scripts. We report the res...

Representing domain knowledge is crucial for any task. There has been a wide range of techniques developed to represent this knowledge, from older logic based approaches to the more recent deep learning based techniques (i.e. embeddings). In this paper, we discuss some of these methods, focusing on the representational expressiveness tradeoffs that are often made. In particular, we focus on the...