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Thesis (M.Sc. (Computer Science))--North-West University, Potchefstroom Campus, 2010.

Thesis (M.Sc. (Computer Science))--North-West University, Potchefstroom Campus, 2010.

Στα πλαίσια αυτής της διπλωματικής εργασίας, δημιουργήθηκε ένα τραπεζικό έμπειρο σύστημα (ΤΕΣ) για την αξιολόγηση πελατών και εύρεση κατάλληλου δανείου, ανάλογα με τις απαιτήσεις του πελάτη. Τα δάνεια που διαπραγματεύεται το ΤΕΣ δεν αφορούν μόνο μία, αλλά περισσότερες τράπεζες, ώστε το σύστημα να μπορεί να χαρακτηριστεί διατραπεζικό. Για την επίλυση του προβλήματος και την υλοποίηση του (ΤΕΣ), χρησιμοποιήθηκαν 2 τρόποι. Κατ’ αρχήν υλοποιήθηκε στο Fuzzy Clip, ένα εργαλείο ανάπτυξης ευφυών συστημάτων, που χρησιμοποιεί ασαφής κανόνες για την αναπαράσταση γνώσης. Ηχρήση ασάφειας ήταν ταιριαστή , καθώς αρκετές απο τι παραμέτρους μπορούσαν να θεωρηθούν ώς τετοιες. Στο δεύτερο τρόπο χρησιμοποιήθηκαν εμπειρικά δεδομένα, δηλ. συγκεκριμένες περιπτώσεις δανειοληπτών, για την δημιουργία του ΤΕΣ. Για το σκοπό αυτό χρησιμοποιήθηκε το εργαλείο HYMES (Hybrid Modular Expert System), ένα εργαλείο που χρησιμοποιεί υβριδικούς κανόνες για αναπαράσταση γνώσης, των νευροκανόνων. Οι νευροκανόνες συνδυάζουν νευρωνικά δίκτυα και συμβολικούς κανόνες και παράγονται από εμπειρικά δεδομένα. Τέλος έγινε συγκριση των δυο συστημάτων με βάση τρεις μετρικές που χρησημοποιούνται σ’ αυτές τις περιπτώσεις. / In the framework of this senior project, a banking intelligent system (BIS)has been developed which is suitable for the customers evaluation and the finding of the appropriate loan according to the customer’s demands. The loans that the (BIS) has been developed which is suitable for the customers evaluation and the finding of the appropriate loan according to the customer’s demands. The loans that the BIS treats, concern more than one bank so that for the system to be characterized as a multi- banking system. For the solution of the problem and the implementation of the BIS, two methods have been used. Firstly, the Fuzzy Clips was developed, which is a tool that is used to form intelligent systems and used fuzzy rules to represent knowledge. The usage of the indefiniteness was done successfully since many of the parameters used could be considered as fuzzy. In the second method, experiential data have been used in order to create the BIS. This means that data have been used in order to create the BIS. This means that specific real cases of loan receiving were taken in mind. For this purpose, the HYMES (Hybrid Modular Expert System) was used which is a tool that used Hubrid rules to represent knowledge. These rules are known as neurotic rules, they combine neuronal net and symbolic rules and they are derived from experiential data. Finally, a comparison of the above two systems was made based on three metrics that are used in those occasions.

Evaluation of contaminated sites based on human health and environmental hazards is an essential task for the proper management of the contaminated sites. A large number of contaminated sites have been waiting for remediation all over the World. However, contaminated site remediation is generally a difficult, time consuming and very expensive process. Ranking systems for contaminated sites are useful tools to determine the remedial priority and to manage the available remediation budget in the most efficient way before the costly remedial actions are taken. To be able to have a reliable ranking result, accurate and sufficient amount of data on the nature of contamination and site characteristics are needed, which are usually not available at the early identification phases of contaminated sites, and the available data is mostly limited and vague in nature. If the available data are inaccurate or vague, the corresponding remedial ranking results can be questionable, as well. Most of the current ranking methodologies overlook the vagueness in the parameter values. The main objective of this study is to develop a remedial priority ranking system for contaminated sites by taking vagueness in parameter values into account. Within this context, development of the new Remedial Priority Ranking System, RPRS, aims to define and evaluate the current and possible environmental risks by using sufficiently comprehensive readily available parameters describing the fate and transport of contaminants in the environment and considering vagueness in those parameter values. The consideration of vagueness in parameter values was included in remedial prioritization of contaminated sites by means of fuzzy set theory. A fuzzy expert system was built up for the evaluation of contaminated sites and it was developed in Microsoft Office Excel 2007 platform, with the intention of making the evaluation fast and user friendly. Hypothetical and real case study applications are presented to test ease of use and validity of the results of the developed methodology. Results of case study applications revealed that the developed RPRS can serve as an alternative method for remedial priority ranking of contaminated sites.

The diploma thesis concerns Multi Objective Optimization and proposes a fuzzy model for a particular business. The model and the results of the evaluation are described in detail.

The work deals with multidimensional decision-making in the outsourcing of accounting work; it is designed for accounting companies with more than 30 employees. These companies deal with hundreds of accounting tasks of various extent and nature which would be assigned to individual accountants. Theoretically speaking, the problem of assigning tasks to individual accountants can be resolved by well-known methods of operational research; however, certain qualities of accountants are very vague and are hard to quantify. These qualities include creativity, loyalty, credibility towards clients, etc. The qualities make the application of traditional algorithms (e.g. scheduling algorithms) very difficult. Moreover, certain accounting tasks are unique and can be assigned only by experienced managers, not algorithms. This work focuses on a fuzzy description of tasks and accountants and a two-level assignment process. In preliminary sorting, individual tasks to be assigned are classified as routine, which can be assigned through a fuzzy algorithm, or non-routine, which are assigned to individual employees through the manager . fuzzy expert system dialogue.

<p>U disertaciji je dato jedno rešenje automatskog operativnog<br />upravljanja dvosmernom brodskom prevodnicom sa jednom komorom.<br />Kreiran je ekspertski sistem zasnovan na rasplinutoj (fuzzy) logici.<br />Upravljački sistem je testiran na modelu brodske prevodnice koji je<br />kreiran na osnovu statističkih podataka o gustini saobraćaja na<br />hidrosistemu DTD (Dunav-Tisa-Dunav), na osnovu tehničke<br />dokumentacije brodske prevodnice i na osnovu razgovora sa<br />operaterima. Sistem je zatim optimizovan globalnim algoritmima<br />optimizacije. Dobijeno rešenje se pokazalo značajno bolje u poređenju<br />sa standardnim algoritmima odluke.</p> / <p>This thesis presents a solution to automatic control of a two-way one-channel<br />ship lock. Expert system based on fuzzy logic is designed. This control<br />system is tested on model of ship lock created using statistical data of<br />transportation density on DTD (Danube-Tisa-Danube) channel, using<br />technical documentation of ship lock and interview with operators. The<br />system is further optimized with global optimization techniques. Given<br />solution proved to be significantly better than standard decision algorithms.<br />&nbsp;</p>

The object of this thesis is proposal and practical implementation of expert system, whose knowledge base will be modeling by fuzzy Petri nets. The proposal is based on knowledge in theoretical analysis of diagnostic expert system and fuzzy Petri nets. This proposal is realised in programming language C#. There are described functions of program and it is made a model consultation with using two different knowledge base.