Title

Probabilistic-Fuzzy Knowledge-Based System for Managerial Applications

Journal title

Management and Production Engineering Review

Yearbook

2012

Issue

No 1

Authors

Rudnik, Katarzyna ; Walaszek-Babiszewska, Anna

Keywords

Wydział IV Nauk Technicznych

Divisions of PAS

Wydział IV Nauk Technicznych

Publisher

Production Engineering Committee of the Polish Academy of Sciences, Polish Association for Production Management

Date

2012

Identifier

DOI: 10.2478/v10270-012-0006-0

Source

Management and Production Engineering Review; 2012; No 1

References

Koźmiński A. (2005), Management under the Uncertainty Conditions. ; Yager R. (1995), Essentials of fuzzy modeling and control. ; Bellman R. (1970), Decision-making in a fuzzy environment, Management Sciences, 17, 141. ; Piech H. (2005), Inference on the base of fuzzy strategies. ; Walaszek-Babiszewska A. (2008), Automation and Robotics, 329. ; Walaszek-Babiszewska A. (2010), Fuzzy modeling of the stochastic systems. ; Walaszek-Babiszewska A. (2004), Fuzzy sets as an instrument to formalize of experts' knowledge in computer systems, null. ; Walaszek-Babiszewska A. (2006), Fuzzy model for the information and decission making support system for the CFM branch company, Applied Computer Science, 2, 1, 110. ; Błaszczyk K. (2008), X Międzynarodowe Warsztaty Doktoranckie, 74. ; Błaszczyk K. (2010), Notes on defining fuzzy sets in the created inference system with probabilistic-fuzzy knowledge base, null, 63, 9. ; Rutkowska D. (1997), Neural network, genetic algorithms and fuzzy systems. ; Piegat A. (2003), Fuzzy modeling and control. ; Łęski J. (2008), Neural-Fuzzy Systems. ; Zadeh L. (1975), The concept of a linguistic variable and its application to approximate reasoning, Part I, Information Sciences, 8, 199, doi.org/10.1016/0020-0255(75)90036-5 ; Zadeh L. (1965), Fuzzy sets, Information and Control, 8, 338, doi.org/10.1016/S0019-9958(65)90241-X ; Rudnik K. (2010), The fuzzy inference system with a model based on the association rules. ; Kacprzyk J. (2001), Multistage Fuzzy Control. ; Nowicki R. (2009), Fuzzy decision-making systems in the tasks with limited knowledge. ; Herrera F. (2005), Genetic fuzzy systems: status, critical considerations and future directions, Intern. Journal of Computational Intelligence Research, 1, 1, 59. ; Zadeh L. (1968), Probability Measures of Fuzzy Events, Journal of Mathematical Analysis and Applications, 23, 2, 421, doi.org/10.1016/0022-247X(68)90078-4 ; Fayyad U. (1996), From data mining to knowledge discovery in databases, AI Magazine, 37. ; Frawley W. (1992), Knowledge Discovery in Databases: An Overview, AI Magazine, 57. ; Walaszek-Babiszewska A. (2009), A modified Apriori algorithm to generate rules for inference system with probabilistic-fuzzy knowledge base, null. ; Hüllermeier E. (2005), Fuzzy methods in machine learning and data mining: status and prospects, Fuzzy Sets and System, 156, 3, 387, doi.org/10.1016/j.fss.2005.05.036 ; Agrawal R. (1993), Mining association rules between sets of items in large databases, null, 207. ; Han J. (2000), Mining Frequent Patterns without Candidate Generation, null. ; Chen G. (2002), Fuzzy Association Rules and the Extended Mining Algorithm, Information Sciences, 147, 201, doi.org/10.1016/S0020-0255(02)00264-5 ; Hong T. (2001), Trade-off between Computation Time and Number of Rules for Fuzzy Mining from Quantitative Data, Intern. Journal of Uncertainty, Fuzziness and Knowledge-Based System, 9, 5, 587. ; Kuok C. (1998), Mining Fuzzy Association Rules in Database, null, 27, 41. ; Alcalá-Fdez J. (2009), Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms, Fuzzy Sets and System, 160, 905, doi.org/10.1016/j.fss.2008.05.012 ; <i>Aspects of wind energy</i>, Baza danych odnawialnych źródeł energii województwa podkarpackiego <a target="_blank" href='http://www.baza-oze.pl'>http://www.baza-oze.pl</a> ; <i>Methods for assessing wind energy resources</i>, Baza danych odnawialnych źródeł energii województwa podkarpackiego <a target="_blank" href='http://www.baza-oze.pl'>http://www.baza-oze.pl</a>

Aims and scope

MISSION STATEMENT Management and Production Engineering Review (MPER) is a peer-refereed, international, multidisciplinary journal covering a broad spectrum of topics in production engineering and management. Production engineering is a currently developing stream of science encompassing planning, design, implementation and management of production and logistic systems. Orientation towards human resources factor differentiates production engineering from other technical disciplines. The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on production management, organisation of production processes, manage- ment of production knowledge, computer integrated management of production flow, enterprise effectiveness, maintainability and sustainable manufacturing, productivity and organisation, forecasting, modelling and simu- lation, decision making systems, project management, innovation management and technology transfer, quality engineering and safety at work, supply chain optimization and logistics. Management and Production Engineering Review is published under the auspices of the Polish Academy of Sciences Committee on Production Engineering and Polish Association for Production Management. The main purpose of Management and Production Engineering Review is to publish the results of cutting- edge research advancing the concepts, theories and implementation of novel solutions in modern manufacturing. Papers presenting original research results related to production engineering and management education are also welcomed. We welcome original papers written in English. The Journal also publishes technical briefs, discussions of previously published papers, book reviews, and editorials. Letters to the Editor-in-Chief are highly encouraged.
SUBMISSION Papers for submission should be prepared according to the Authors Instructions available at: www.journals.pan.pl/mper
SUBSCRIPTION Only subscription guarantees receiving this journal. Subscription orders stating the period of time, along with the subscriber’s name and address should be sent directly to biuro@ptzp.org.pl. Back issues of all previously published volumes are available on request. Subscription price for 2023, Volume 14, including postage and handling, is 240 PLN.

Abstracting & Indexing

Index Copernicus
Web of Science - Clarivate (ESCI)
Scopus - Elsevier
SCIMAGO:
(CiteScore 2020 - 2.5
SJR 2020 - 0.332
SNIP 2020 - 1.061)