Janusz Kacprzyk - Publications#
Publication record:
5 books, > 60 edited volumes, > 500 papers in journals, edited volumes, proceedings, etc. (ca. 80 in JCR indexed journals)
Scientific metrics:
1. System „Google Scholar”
Total numer of citations: 15171
The Hirsch index: h-index = 57
2. System ISI Web of Science
Total number of citations: 2802 (without auto-citations: 1736)
The Hirsch index: h-index = 25
Main 10 journal publications in the last 5 years:
Szmidt E., Kacprzyk J. and Bujnowski P.: How to measure the amount of knowledge conveyed by Atanassov's intuitionistic fuzzy sets, Information Sciences, vol. 257,pp. 276-285, 2014.
Herrera-Viedma E., F.J. Cabrerizo, J. Kacprzyk and W. Pedrycz: A review of soft consensus models in a fuzzy environment, Information Fusion, vol. 17, pp. 4-13, 2014.
Zadrożny S., Kacprzyk J., De Tré G.: Bipolar queries in textual information retrieval: A new perspective. Information Processing and Management, vol. 48, No. 3, 2012,pp. 390-398.
Zadrożny S., Kacprzyk J.: Bipolar queries: an aggregation operator focused perspective. Fuzzy Sets and Systems, vol. 196, 2012, pp. 69-81.
Matthé T., De Tré G., Zadrożny S., Kacprzyk J., Bronselaer A.: Bipolar database querying using bipolar satisfaction degrees. International Journal of Intelligent Systems, vol. 26, No. 10, 2011,pp. 890-910.
Kacprzyk J., Zadrożny S., Raś Z.W.: How to support consensus reaching using action rules: a novel approach. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 18, No. 4, 2010, pp. 451-470.
Kacprzyk J., Wilbik A., Zadrożny S.: An approach to the linguistic summarization of time series using a fuzzy quantifier driven aggregation. International Journal of Intelligent Systems, vol. 25, No. 5, 2010, pp. 411-439.
Kacprzyk J., Zadrożny S.: Soft computing and Web intelligence for supporting consensus reaching. Soft Computing, vol. 14, No. 8, 2010, pp. 833 – 846.
Kacprzyk J., Zadrożny S.: Computing with words is an implementable paradigm: fuzzy queries, linguistic data summaries and natural language generation. IEEE Transactions on Fuzzy Systems, vol. 18, No. 3, 2010, pp. 461-472.
Kacprzyk J., Wilbik A., Zadrożny S.: Linguistic summarization of time series using a fuzzy quantifier driven aggregation. Fuzzy Sets and Systems, vol. 159, No. 12, 2008, pp. 1485-1499.
Some earlier papers/books with original concepts which have resulted to a large extent in pioneer, lifetime achievement and similar awards:
- new types of flexible queries with linguistic quantifiers, and bipolar queries:
J. Kacprzyk and A Ziółkowski, Database queries with fuzzy linguistic quantifiers, IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC 16, 474 479, 1986.
J. Kacprzyk, S. Zadrożny and A. Ziółkowski, FQUERY III+: a 'human-consistent' database querying system based on fuzzy logic with linguistic quantifiers, Information Systems, 1989, Vol. 14, pp. 443 - 453.
S. Zadrożny, J. Kacprzyk: Bipolar queries: an aggregation operator focused perspective. Fuzzy Sets and Systems, vol. 196, 2012, pp. 69-81.
S. Zadrożny, J. Kacprzyk, G. De Tre: Bipolar queries in textual information retrieval: A new perspective. Information processing and Management, vol. 48, No. 3, 2012,pp. 390-398.
- a new, computationally I mplementable approach to linguistic summaries of large numeric data sets:
J. Kacprzyk, R.R. Yager R. and S. Zadrożny, A fuzzy logic based approach to linguistic summaries of databases, International Journal of Applied Mathematics and Computer Science, vol. 10, No. 4, 2000, pp. 813-834.
J. Kacprzyk and R.R. Yager, Linguistic summaries of data using fuzzy logic, International Journal of General Systems, vol. 30, No 2, 2001, pp. 133 – 154.
J. Kacprzyk J., Zadrożny S.: Linguistic database summaries and their protoforms: towards natural language based knowledge discovery tools. Information Sciences, vol. 173, No. 4, 2005, pp. 281-304.
- a new linguistic summarization approach to time series data:
J. Kacprzyk, A. Wilbik, S. Zadrożny: Linguistic summarization of time series using a fuzzy quantifier driven aggregation. Fuzzy Sets and Systems, vol. 159, No. 12, 2008, pp. 1485-1499.
J. Kacprzyk, A. Wilbik, S. Zadrożny: An approach to the linguistic summarization of time series using a fuzzy quantifier driven aggregation. International Journal of Intelligent Systems, vol. 25, No. 5, 2010, pp. 411-439.
- first volume on the “computing with words”:
L.A. Zadeh, J. Kacprzyk (Eds.), Computing with Words in Information/Intelligent Systems. Part 1. Foundations, Physica-Verlag (Springer - Verlag), Heidelberg and New York, 1999.
L.A. Zadeh, J. Kacprzyk (Eds.), Computing with Words in Information/Intelligent Systems. Part 2. Applications, Physica-Verlag (Springer - Verlag), Heidelberg and New York, 1999.
- first approach to computing with words based on computational linguistics and natural language generation:
Kacprzyk J., Zadrożny S.: Computing with words is an implementable paradigm: fuzzy queries, linguistic data summaries and natural language generation. IEEE Transactions on Fuzzy Systems, vol. 18, No. 3, 2010, pp. 461-472.
- new models of multistage optimal fuzzy control, and the first book:
J. Kacprzyk, Control of a nonfuzzy system in a fuzzy environment with a fuzzy termination time, Systems Science, Vol. 3, 320 334, 1977.
J. Kacprzyk, A branch and bound algorithm for the multistage control of a nonfuzzy system in a fuzzy environment, Control and Cybernetics, Vol. 7, 51 64, 1978.
J. Kacprzyk, Control of a stochastic system in a fuzzy environment with a fuzzy termination time, Systems Science, Vol. 4, 291 300, 1978.
J. Kacprzyk, Decision making in a fuzzy environment with fuzzy termination time, Fuzzy Sets and Systems, Vol. 1, 169 179, 1978.
J. Kacprzyk, A branch and bound algorithm for the multistage control of a fuzzy system in a fuzzy environment, Kybernetes, Vol. 8, 139 147, 1979.
J. Kacprzyk, K. Safteruk and P. Staniewski, On the control of stochastic systems in a fuzzy environment over infinite horizon, Systems Science, Vol. 7, 121 131, 1981.
J. Kacprzyk and P. Staniewski, Control of a deterministic system in a fuzzy environment over an infinite planning horizon, Fuzzy Sets and Systems, Vol. 10, 291 298, 1983.
J. Kacprzyk and C. Iwański, A generalization of discounted multistage decision making and control through fuzzy linguistic quantifiers: an attempt to introduce commonsense knowledge, International Journal of Control, Vol. 45, 1909 1930, 1987.
J. Kacprzyk, Multistage Control of a Stochastic System in a Fuzzy Environment Using a Genetic Algorithm, International Journal of Intelligent Systems, vol. 13, pp.1011-1023, 1998.
- first papers on a neural network model for fuzzy dynamic programming:
R.A.F. Francelin, J. Kacprzyk and F.A. Gomide, Neural network based algorithm for dynamic system optimization. Asian Journal of Control, vol. 3, No. 2, 2001, pp. 131-142.
R.A. Francelin, F.A.C. Gomide and J. Kacprzyk, A biologically inspired neural network for dynamic programming. International Journal of Neural Systems, vol. 11, no. 6, 561—572, 2001.
- first books na multistage optimal fuzzy decision making and control:
J. Kacprzyk, Multistage Decision Making under Fuzziness, Verlag TÜV Rheinland, Cologne, 1983.
J. Kacprzyk, Multistage Fuzzy Control: A Model-Based Approach to Control and Decision-Making, Wiley, Chichester, 1997.
- a new model for sustainable regional development (cited in L.C. Thomas (Ed.) “Golden Developments in OR”, Pergamon Press, Oxford, 1987 as one of best examples of fuzzy modeling reported in the literature):
J. Kacprzyk and A. Straszak, Determination of stable trajectories for integrated regional development using fuzzy decision models, IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC 14, 310 313, 1984.
- new computational models of group decision making, social choice and voting:
J. Kacprzyk, Group decision making with a fuzzy majority, Fuzzy Sets and Systems, Vol. 18, 105 118, 1986.
H. Nurmi and J. Kacprzyk, On fuzzy tournaments and their solution concepts in group decision making, European Journal of Operational Research, Vol. 51, 223 232, 1991.
H. Nurmi, J. Kacprzyk and M. Fedrizzi, ``Probabilistic, fuzzy and rough concepts in social choice’’, European Journal of Operational Research, vol. 95, pp. 264 - 277, 1996.
J . Kacprzyk and S. Zadrożny, Computing with words in decision making through individual and collective linguistic choice rules, International Journal of Uncertainty, Fuzziness and Knowledge – Based Systems, vol. 9, 2001, pp. 89-102.
J. Kacprzyk and S. Zadrożny, Collective choice rules in group decision making under fuzzy preferences and fuzzy majority: a unified OWA operator based approach. Control and Cybernetics, vol. 31, No. 4, 2002, pp. 937-948.
J. Kacprzyk, S. Zadrożny: Towards a general and unified characterization of individual and collective choice functions under fuzzy and nonfuzzy preferences and majority via the Ordered Weighted Average Operators. International Journal of Intelligent Systems, vol. 24, No. 1, 2009, pp. 4-26.
- new models for consensus reaching in a group of agents:
J. Kacprzyk and M. Fedrizzi, 'Soft' consensus measures for monitoring real consensus reaching processes under fuzzy preferences, Control and Cybernetics, Vol. 15, 309 323, 1986.
J. Kacprzyk and M. Fedrizzi, A `soft' measure of consensus in the setting of partial (fuzzy) preferences, European Journal of Operational Research, Vol. 34, 316 325, 1988.
J. Kacprzyk and M. Fedrizzi, A 'human consistent' degree of consensus based on fuzzy logic with linguistic quantifiers, Mathematical Social Sciences, Vol. 18, 275 290, 1989.
M. Fedrizzi, J. Kacprzyk and S. Zadrożny, An interactive multi user decision support system for consensus reaching processes using fuzzy logic with linguistic quantifiers, Decision Support Systems, Vol. 4, pp. 313 327, 1988.
J. Kacprzyk, S. Zadrożny: Soft computing and Web intelligence for supporting consensus reaching. Soft Computing, vol. 14, No. 8, 2010, pp. 833 – 846.
J. Kacprzyk, S. Zadrożny, Z.W. Raś: How to support consensus reaching using action rules: a novel approach. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 18, No. 4, 2010, pp. 451-470.
Herrera-Viedma E., F.J. Cabrerizo, J. Kacprzyk and W. Pedrycz: A review of soft consensus models in a fuzzy environment, Information Fusion, vol. 17, pp. 4-13, 2014.
- a new model of inductive learning:
J. Kacprzyk and G. Szkatuła, An algorithm for learning from erroneous and incorrigible examples, International Journal of Intelligent Systems, vol. 11, pp. 565 - 582, 1996.
- highly cited papers on information theoretic measures for the intuitionistic fuzzy sets:
E. Szmidt E. and J. Kacprzyk, Distances between intuitionistic fuzzy sets, Fuzzy Sets and Systems, vol. 114, No. 3, 2000, pp. 505-518.
E. Szmidt E. and J. Kacprzyk, Entropy for intuitionistic fuzzy sets, Fuzzy Sets and Systems, vol. 118, no. 3, 2001, pp. 467-477.
- first volumes on optimization under fuzziness:
J. Kacprzyk, S.A. Orlovski (Eds.), Optimization Models Using Fuzzy Sets and Possibility Theory, D. Reidel, Dordrecht/Boston/London, 1987.
M. Delgado, J. Kacprzyk, J.L. Verdegay, M.A. Vila (Eds.), Fuzzy Optimization: Recent Advances, Physica Verlag, Heidelberg (A Springer Verlag Company), 1994.
Lodwick W.A., Kacprzyk J. (Eds.): Fuzzy Optimization: Recent Advances and Applications. Spronger, Heidelberg 2010
- first volume on fuzzy regression:
J. Kacprzyk and M. Fedrizzi (Eds.), Fuzzy Regression Analysis, Omnitech Press, Warsaw and Physica Verlag, Heidelberg (A Springer Verlag Company), 1992.
- first volumes on the OWA (ordered weighted average) operators:
R.R. Yager, J. Kacprzyk (Eds.), The Ordered Weighted Averaging Operators: Theory and Applications, Kluwer, Boston, 1997.
Yager R., Kacprzyk J., Beliakov G. (Eds.): Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice. Springer Verlag, Heidelberg 2011.
