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Estimating New Product Success with the Use of Intelligent Systems

Artificial Intelligence, Fall 1996, pp. 37-54. [28] Relich M. - A decision support system for alternative project choice based on fuzzy neural networks [in] Management and Production Engineering Review, Vol. 1, No. 4, 2010, pp. 46-54. [29] Relich M. - An evaluation of project completion with application of fuzzy set theory [in] Management, Vol. 16, No. 1, 2012, pp. 216-229. [30] Relich M., Muszyński W. - The use of intelligent systems for planning and scheduling of product development projects [in] Procedia Computer Science

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Development of an Intelligent System of Determinating the Coordinates and the Speed of the Train

Abstract

Dynamic development of the country’s transport system leads to the increase of the length of highways, traffic interchange, including places of crossing with the railway. Notification time for crossing is determined by the maximum speed of the train, which is a significant disadvantage of the automatic crossing signaling. In reality the train speed is less than the estimated one, so the idles at transport intersection (crossing) reach 30-30 minutes, creating not only inconveniences to vehicle traffic, but also unfavorable environmental conditions.

In the development of intellectual control system automatic crossing signaling there is applied the principles patterns recognition with lots of informative features and decisive functions with the procedure of “learning” the decisive function “teacher”.

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Structural Ageism in Big Data Approaches

Abstract

Digital systems can track every activity. Their logs are the fundamental raw material of intelligent systems in big data approaches. However, big data approaches mainly use predictions and correlations that often fail in the prediction of minorities or invisibilize collectives, causing discriminatory decisions. While this discrimination has been documented regarding, sex, race and sexual orientation, age has received less attention. A critical review of the academic literature confirms that structural ageism also shapes big data approaches. The article identifies some instances in which ageism is in operation either implicitly or explicitly. Concretely, biased samples and biased tools tend to exclude the habits, interests and values of older people from algorithms and studies, which contributes to reinforcing structural ageism.

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Engineering intelligent systems on the knowledge formalization continuum

Engineering intelligent systems on the knowledge formalization continuum

In spite of their industrial success, the development of intelligent systems is still a complex and risky task. When building intelligent systems, we see that domain knowledge is often present at different levels of formalization—ranging from text documents to explicit rules. In this paper, we describe the knowledge formalization continuum as a metaphor to help domain specialists during the knowledge acquisition phase. To make use of the knowledge formalization continuum, the agile use of knowledge representations within a knowledge engineering project is proposed, as well as transitions between the different representations, when required. We show that a semantic wiki is a flexible tool for engineering knowledge on the knowledge formalization continuum. Case studies are taken from one industrial and one academic project, and they illustrate the applicability and benefits of semantic wikis in combination with the knowledge formalization continuum.

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Adaptive Fuzzy Clustering of Short Time Series with Unevenly Distributed Observations in Data Stream Mining Tasks

. Kolodyazhniy, “Evolving fuzzy classification of non-stationary time series,” in Evolving Intelligent Systems: Methodology and Applications, P. Angelov, D. Filev, N. Kasabov Ed., NY: John Wiley & Sons, 2008, pp. 446-464. [8] C. S. Möller-Levet, F. Klawonn, K.-H. Cho and O. Wolkenhauer, “Fuzzy clustering of short time series and unevenly distributed sampling points,” in Advances in Intelligent Data Analysis V (Lecture Notes in Computers Science), Vol. 2810, Heidelberg: Springer, 2003, pp. 330-340. https://doi.org/10.1007/978-3-540-45231-7_31 [9

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An Intelligent System of Supervision and Safety of Flight Operations

Abstract

The paper presents the functionality and applicability of AeroSafetyShow Demonstrator+PL (ASSD+PL). Software was invented and developed by a scientific consortium between Żelazny6 Wojciech Krupa company and Poznan University of Technology. Project was co-financed by the European Union and the National Centre for Research and Development. ASSD+PL is an intelligent system, which allows to increase the safety of flight operations by conducting surveillance in the real time. This system is the first controlling software which offering such a wide range of functionalities.

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The HeKatE methodology. Hybrid engineering of intelligent systems

logical analysis of tabular rule-based systems, Proceedings of the Ninth European International Workshop on Database and Expert Systems Applications, Vienna, Austria , pp. 30-35. Ligęza, A. (1999). Validation and Verification of Knowledge Based Systems: Theory, Tools and Practice , Kluwer Academic Publishers, Boston, MA/Dordrecht/London, pp. 313-325. Ligęza, A. (2001). Toward logical analysis of tabular rulebased systems, International Journal of Intelligent Systems   16 (3): 333

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Towards General Evaluation of Intelligent Systems: Lessons Learned from Reproducing AIQ Test Results

Artificial Intelligence 19(2):159-193. Turing, A. M. 1950. Computing Machinery and Intelligence. Mind 59(236):433-460. Vadinský, O. 2015. Towards an Artificially Intelligent System: Possibilities of General Evaluation of Hybrid Paradigm. In Besold, T. R.; Lamb, L. C.; Icard, T.; and Miikkulainen, R., eds., Proceedings of the 10th International Workshop on Neural-Symbolic Learning and Reasoning NeSy’15, 23-29. Buenos Aires: IJCAI. Veness, J.; Ng, K. S.; Hutter, M.; Uther, W.; and Silver, D. 2011. A Monte Carlo AIXI

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Hybrid Generalised Additive Type-2 Fuzzy-Wavelet-Neural Network in Dynamic Data Mining

Abstract

In the paper, a new hybrid system of computational intelligence is proposed. This system combines the advantages of neuro-fuzzy system of Takagi-Sugeno-Kang, type-2 fuzzy logic, wavelet neural networks and generalised additive models of Hastie-Tibshirani. The proposed system has universal approximation properties and learning capability based on the experimental data sets which pertain to the neural networks and neuro-fuzzy systems; interpretability and transparency of the obtained results due to the soft computing systems and, first of all, due to type-2 fuzzy systems; possibility of effective description of local signal and process features due to the application of systems based on wavelet transform; simplicity and speed of learning process due to generalised additive models. The proposed system can be used for solving a wide class of dynamic data mining tasks, which are connected with non-stationary, nonlinear stochastic and chaotic signals. Such a system is sufficiently simple in numerical implementation and is characterised by a high speed of learning and information processing.

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Reducing Energy Consumption by Using Smart Metering Intelligent Systems

Abstract

Smart metering is aimed at efficient energy management. Its potential may be revealed using recent advances in machine type communications. This paper presents an approach to design web services for residential power control with prepaid functionality. The reduction in energy consumption is estimated for typical households applying heating control.

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