Andrzej Pieczyński

Employing fuzzy logic in feature diagrams to model variability in software product-lines

The possible features of software product line members may vary according to the needs of particular market segments or purposes. The assessment of what will be common and what will be variable may, e.g., result from market strategies. Customer profiles may be used to model an otherwise anonymous market, each requiring in turn a specific sets of variant features. Identical feature sets may be prioritized in different ways for specific customer groups. The paper proposes a system description based on a feature diagram tree, annotated with weighted variant features in the product line context. The principle how some variant features may be described on the basis of fuzzy logic is introduced and discussed. As the proposed description also integrates the external cross-tree constraints, it leads to an improved homogeneity of the descriptive logic. This opens the opportunity to integrate additional tools into the scenario, e.g., generators or support for constraint based reasoning. The use of the proposed approach is demonstrated by the example of a simple car description.

Application of fuzzy weighted feature diagrams to model variability in software families

In the paper the employment of fuzzy logic in feature models for software system families is presented. The fuzzy weights of some variable features are introduced. The approach is demonstrated on the example of the feature model describing car properties. The formulas resulting from the description of the feature tree and its constraints can be used as input for an expert system validating possible feature combinations.

An Integrated Approach to Fault Detection and Diagnosis in Power Plant

Abstract This paper deals with a computer diagnostic system for a power plant simulator. The system is designed to help the operator in fault detection and isolation during operation of the power plant. A two-part knowledge base was created to increase the efficiency and flexibility of knowledge-based diagnostic system. The base consists of heuristic knowledge (set of rules and principles of system behavior) and analytical knowledge (set of mathematical models, Kalman filter algorithms and tests of random sequences). The design methodology is a hierarchical knowledge structure with compiled knowledge at higher levels of abstraction and analytical redundancy at lower ones. Such an integrated approach reduces the computational complexity associated with functionally-redundant schemes and increases the effectiveness of the knowledge-based approach.

Adjusting software-intensive systems developed by using software factories and fuzzy features

Growing expectations for low priced software-intensive applications tailored to the individual customers needs require the usage of techniques aimed at the individual development of application systems, which could be attained at the costs of standard software and easily adapted. In the paper the concepts associated with assembling the applications by means of software factories in conjunction with the fuzzy description of the variable product parts are introduced. The approach is demonstrated in the example of a part of an order process.

Application of the General Gaussian Membership Function for the Fuzzy Model Parameters Tunning

A system input-output response is modeled using a knowledge-based method of signal processing known as neuro-fuzzy logic. The paper presents a new method of the fuzzy model parameters tunning. Fuzzy model tuning procedures based on an evolutionary algorithm are also given. As an example, the analysis of the membership function kind is carried out for the fuzzy modeling of parameters, which are necessary to describe the state of a pressure vessel with water-steam mixture during accidental depressurizations.

Assessing the Non-technical Service Aspects by Using Fuzzy Methods

The growing expectations for service-oriented applications tailored to the customers needs comprise a definition of the service contract documents, for both, technical and non-technical service elements. The usage of the fuzzy methods and techniques allows for the customized prearrangement of such application systems, which could be developed at the costs of the standard software. In the paper the concepts associated with a service-oriented design of non-technical service aspects especially appropriate for the fuzzy description of them as the requirements destined for Service Level Agreements SLAs, are introduced. The proposed approach is demonstrated on the example of a service accessibility requirement, an important component of a contracted SLA.

Results of research on method for intelligent composing thematic maps in the field of web GIS

Many of todays Web GIS applications are mashups, as they involve contents and functions from multiple Web services. This article presents a study on the use of expert system for discovery and matchmaking the Internet complex services in the field of Geographic Information Systems. To perform the experiment, a computer system has been prepared, to accomplish the method proposed by the author. Thereafter research results were presented to indicate how useful the method was and the effectiveness of the expert system use in solving the raised issues.

Fuzzy Modelling of Multidimensional Non-linear Processes — Design and Analysis of Structures

The response characteristic between input and output variables can be modelled by knowledge-based methods of signal processing like Fuzzy Logic. Based on a low number of data sets Fuzzy Logic can be applied advantageously for non-linear processes, especially. The rule-based description of the non-linear process behaviour can be realised by means of different structures of the fuzzy algorithm. The paper presents and compares three structure variants (complex, parallel and cascaded structure) of the fuzzy model design to reproduce the input-output behaviour. The structure analysis was carried out for the fuzzy-based modelling of parameters which are necessary to describe the process state of pressure vessels with water-steam mixture during accidental depressurizations.