{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T16:13:40Z","timestamp":1780589620543,"version":"3.54.1"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2005,7,6]],"date-time":"2005-07-06T00:00:00Z","timestamp":1120608000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2005,11]]},"DOI":"10.1007\/s00500-004-0426-z","type":"journal-article","created":{"date-parts":[[2005,7,5]],"date-time":"2005-07-05T13:29:16Z","timestamp":1120570156000},"page":"846-857","source":"Crossref","is-referenced-by-count":69,"title":["A weight adaptation method for fuzzy cognitive map learning"],"prefix":"10.1007","volume":"9","author":[{"given":"Elpiniki I.","family":"Papageorgiou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter P.","family":"Groumpos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2005,7,6]]},"reference":[{"key":"426_CR1","doi-asserted-by":"crossref","unstructured":"Aguilar J (2002) Adaptive random fuzzy cognitive maps. In: Garijio FJ, Riquelme JC, Toro M (eds) IBERAMIA 2002, Lecture Notes in Artificial Intelligence, vol 2527. Springer, Berlin Heidelberg Newyork, pp 402\u2013410","DOI":"10.1007\/3-540-36131-6_41"},{"key":"426_CR2","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1007\/s005000050002","volume":"1","author":"P Bonissone","year":"1997","unstructured":"Bonissone P (1997) Soft computing: the convergence of emerging reasoning technologies. Soft Comput 1:6\u201318","journal-title":"Soft Comput"},{"key":"426_CR3","first-page":"120","volume":"1","author":"JP Craiger","year":"1996","unstructured":"Craiger JP, Goodman DF, Weiss RJ, Butler A (1996) Modeling organizational behavior with fuzzy cognitive maps. IJCIO 1:120\u2013123","journal-title":"IJCIO"},{"key":"426_CR4","first-page":"25","volume":"7","author":"J Dickerson","year":"1994","unstructured":"Dickerson J, Kosko B (1994) Fuzzy virtual worlds. AI Expert 7:25\u201331","journal-title":"AI Expert"},{"key":"426_CR5","volume-title":"Fundamentals of artificial neural networks","author":"M Hassoun","year":"1995","unstructured":"Hassoun M (1995) Fundamentals of artificial neural networks. MIT (Bradford Book), MA"},{"key":"426_CR6","volume-title":"The organization of behaviour: a neuropsychological theory","author":"DO Hebb","year":"1949","unstructured":"Hebb DO (1949) The organization of behaviour: a neuropsychological theory. Wiley, New York"},{"key":"426_CR7","unstructured":"Huerga AV (2002) A balanced differential learning algorithm in fuzzy cognitive maps. In: Proceedings of the sixteenth international workshop on qualitative reasoning 2002"},{"key":"426_CR8","unstructured":"Jain L (1997) Soft computing techniques in knowledge-based intelligent engineering systems: approaches and applications. Studies in fuzziness and soft computing, vol 10. Springer, Berlin Heidelberg New York"},{"key":"426_CR9","doi-asserted-by":"crossref","unstructured":"Kang II, Lee S (2004) Using fuzzy cognitive map for the relationship management in airline service. Expert systems with applications (in press)","DOI":"10.1016\/j.eswa.2003.10.012"},{"key":"426_CR10","first-page":"65","volume":"24","author":"B Kosko","year":"1986","unstructured":"Kosko B (1986) Fuzzy cognitive maps. IJMMS 24:65\u201375","journal-title":"IJMMS"},{"key":"426_CR11","volume-title":"Fuzzy engineering","author":"B Kosko","year":"1997","unstructured":"Kosko B (1997) Fuzzy engineering. Prentice-Hall, New Jersey"},{"key":"426_CR12","doi-asserted-by":"crossref","unstructured":"Koulouriotis DE, Diakoulakis IE, Emiris DM (2001) Learning fuzzy cognitive maps using evolution strategies: a novel schema for modeling a simulating high-level behavior. In: Proceedings of IEEE congress on evolutionary computation, vol 1. pp 364\u2013371","DOI":"10.1109\/CEC.2001.934413"},{"key":"426_CR13","first-page":"303","volume":"3","author":"KC Lee","year":"1998","unstructured":"Lee KC, Kim HS (1998) Fuzzy implications of fuzzy cognitive map with emphasis on fuzzy causal relationship and fuzzy partially causal relationship. J Fuzzy Sets Syst 3:303\u2013313","journal-title":"J Fuzzy Sets Syst"},{"issue":"5","key":"426_CR14","first-page":"316","volume":"7","author":"KC Lee","year":"1998","unstructured":"Lee KC, Kwon OB (1998) A strategic planning simulation based on cognitive map knowledge and differential game. J Simul 7(5):316\u2013327","journal-title":"J Simul"},{"key":"426_CR15","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1016\/S0957-4174(01)00054-9","volume":"22","author":"KC Lee","year":"2002","unstructured":"Lee KC, Kin JS, Chung NH, Kwon SJ (2002) Fuzzy cognitive map approach to web-mining inference amplification. J Experts Syst Appl 22:197\u2013211","journal-title":"J Experts Syst Appl"},{"key":"426_CR16","unstructured":"Lin CT, Lee CSG (1996) Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems. Prentice Hall, Upper Saddle River"},{"key":"426_CR17","volume-title":"Fuzzy cognitive maps: analysis and extension","author":"ZQ Liu","year":"2000","unstructured":"Liu ZQ (2000) Fuzzy cognitive maps: analysis and extension. Springer, Tokyo"},{"key":"426_CR18","doi-asserted-by":"crossref","unstructured":"Liu ZQ (2003) Fuzzy cognitive maps in GIS data analysis. Soft Comput 7(6):394\u2013401. DOI 10.1007\/s00500-002-0228-0","DOI":"10.1007\/s00500-002-0228-0"},{"key":"426_CR19","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1109\/91.797975","volume":"7","author":"ZQ Liu","year":"1999","unstructured":"Liu ZQ, Satur R (1999) Contextual fuzzy cognitive map for decision support in geographical information systems. J IEEE Trans Fuzzy Syst 7:495\u2013507","journal-title":"J IEEE Trans Fuzzy Syst"},{"key":"426_CR20","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1007\/s00500-002-0202-x","volume":"7","author":"ZQ Liu","year":"2003","unstructured":"Liu ZQ, Zhang JY (2003) Interrogating the structure of fuzzy cognitive maps. Soft comput 7:148\u2013153","journal-title":"Soft Comput"},{"key":"426_CR21","unstructured":"Mateou NH, Zombanakis GA, Andreou AS (2003) Crisis management and political decision making using fuzzy cognitive maps: the Cyprus issue. In: Proceedings of 2003 international conference on intelligent agents, web technologies and internet commerce, Vienna, 12\u201314 February"},{"key":"426_CR22","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1142\/S0129065789000475","volume":"1","author":"E Oja","year":"1989","unstructured":"Oja E (1989) Neural networks, principal components and subspaces. Int J Neural Syst 1:61\u201368","journal-title":"Int J Neural Syst"},{"key":"426_CR23","unstructured":"Oja E, Karhunen J (1993) Nonlinear PCA, algorithm and applications, report A18. Helsinski University of Technology, Finland"},{"key":"426_CR24","first-page":"385","volume-title":"Artificial neural networks","author":"E Oja","year":"1991","unstructured":"Oja E, Ogawa H, Wangviwattana J (1991) Learning in nonlinear constrained Hebbian networks. In: Kohonen T et al (eds) Artificial neural networks. North-Holland, Amsterdam, pp 385\u2013390"},{"issue":"(12","key":"426_CR25","doi-asserted-by":"crossref","first-page":"1326","DOI":"10.1109\/TBME.2003.819845","volume":"50","author":"EI Papageorgiou","year":"2003","unstructured":"Papageorgiou EI, Stylios CD, Groumpos PP (2003a) An integrated two-level hierarchical decision making system based on fuzzy cognitive maps (FCMs). IEEE Trans Biomed Eng 50(12):1326\u20131339","journal-title":"IEEE Trans Biomed Eng"},{"key":"426_CR26","unstructured":"Papageorgiou EI, Stylios CD, Spyridonos P, Nikiforidis G, Groumpos PP (2003b) Urinary bladder tumor grading using nonlinear Hebbian learning for fuzzy cognitive maps. In: Proceedings of IEE international conference on systems engineering (ICSE 2003), vol 2. pp 542\u2013547"},{"key":"426_CR27","doi-asserted-by":"crossref","unstructured":"Papageorgiou EI, Stylios CD, Groumpos PP (2003c) Fuzzy cognitive map learning based on nonlinear Hebbian rule. In:Gedeon TD, Fung LCC (eds) AI 2003, Lecture notes in artificial intelligence, vol 2903. Springer, Berlin Heidelberg New York, pp 254\u2013266","DOI":"10.1007\/978-3-540-24581-0_22"},{"key":"426_CR28","doi-asserted-by":"crossref","unstructured":"Papageorgiou E, Spyridonos P, Stylios CD, Ravazoula P, Nikiforidis G, Groumpos PP (2004a) The challenge of using soft computing techniques for tumor characterization, In: Seventh international conference on artificial intelligence and soft computing, Zakopane, 7\u201311 June. Lecture notes in artificial intelligence, vol 3070. Springer, Berlin Heidelberg NewYork, pp 1031\u20131036","DOI":"10.1007\/978-3-540-24844-6_161"},{"issue":"3","key":"426_CR29","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1016\/j.ijar.2004.01.001","volume":"35","author":"EI Papageorgiou","year":"2004","unstructured":"Papageorgiou EI, Stylios CD, Groumpos PP (2004b) Active Hebbian learning algorithm to train fuzzy cognitive maps. Int J Approx Reas 35(3):219\u2013249","journal-title":"Int J Approx Reas"},{"key":"426_CR30","doi-asserted-by":"crossref","unstructured":"Papageorgiou EI, Parsopoulos KE, Groumpos PP, Vrahatis MN (2004c) Fuzzy cognitive maps learning through swarm intelligence. In: International conference on artificial intelligence and soft computing, Zakopane, 7\u201311 June. Lecture notes in artificial intelligence, vol 3070. Springer, Berlin Heidelberg New York, pp 344\u2013349","DOI":"10.1007\/978-3-540-24844-6_49"},{"key":"426_CR31","doi-asserted-by":"crossref","unstructured":"Parsopoulos KE, Papageorgiou EI, Groumpos PP, Vrahatis MN (2003) A first study of fuzzy cognitive maps learning using particle swarm optimization. In: Proceedings of IEEE 2003 congress on evolutionary computation. IEEE Press, pp 1440\u20131447","DOI":"10.1109\/CEC.2003.1299840"},{"key":"426_CR32","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/0020-0255(95)00161-1","volume":"88","author":"CE Pelaez","year":"1996","unstructured":"Pelaez CE, Bowles JB (1996) Using fuzzy cognitive maps as a system model for failure modes and effects analysis. Inf Sci 88:177\u2013199","journal-title":"Inf Sci"},{"key":"426_CR33","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/S0166-3615(98)00139-0","volume":"39","author":"CD Stylios","year":"1999","unstructured":"Stylios CD, Groumpos PP (1999) Fuzzy cognitive maps: a model for intelligent supervisory control systems. Comput Indust 39:229\u2013238","journal-title":"Comput Indust"},{"key":"426_CR34","first-page":"83","volume":"8","author":"CD Stylios","year":"2000","unstructured":"Stylios CD, Groumpos PP (2000) Fuzzy cognitive maps in modeling supervisory control systems. J Intell Fuzzy Syst 8:83\u201398","journal-title":"J Intell Fuzzy Syst"},{"issue":"5","key":"426_CR35","first-page":"409","volume":"3","author":"CD Stylios","year":"1999","unstructured":"Stylios CD, Groumpos PP, Georgopoulos VC (1999) An fuzzy cognitive maps approach to process control systems. J Adv Comput Intell 3(5):409\u2013417","journal-title":"J Adv Comput Intell"},{"issue":"5","key":"426_CR36","doi-asserted-by":"crossref","first-page":"707","DOI":"10.1016\/0893-6080(95)00028-X","volume":"8","author":"A Sudjianto","year":"1995","unstructured":"Sudjianto A, Hassoun M (1995) Statistical basis of nonlinear Hebbian learning and application to clustering. Neural Netw 8(5):707\u2013715","journal-title":"Neural Netw"},{"issue":"2","key":"426_CR37","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/S0957-4174(03)00140-4","volume":"26","author":"G Xirogiannis","year":"2004","unstructured":"Xirogiannis G, Stefanou J, Glykas M (2004) A fuzzy cognitive map approach to support urban design. Expert Syst Appl 26(2):257\u2013268","journal-title":"Expert Syst Appl"},{"key":"426_CR38","unstructured":"Xu L (1994) Theories for unsupervised learning: PCA and its nonlinear extensions. In: Proceedings of IEEE international conference on neural networks, vol 2. New York, pp 1252\u20131257"},{"key":"426_CR39","doi-asserted-by":"crossref","unstructured":"Zadeh LA (1997a) The roles of fuzzy logic and soft computing in the conception, design, and deployment of intelligence systems. In: Nwana HS, Azarmi N (eds) Software agents and soft computing: towards enhancing machine intelligence concepts and applications. Lecture notes in computer science, vol 1198, pp 83\u201390","DOI":"10.1007\/3-540-62560-7_45"},{"key":"426_CR40","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S1568-4946(01)00003-5","volume":"1","author":"LA Zadeh","year":"1997b","unstructured":"Zadeh LA (1997b) What is Soft Computing. Soft Comput 1:1\u20132","journal-title":"Soft Comput"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-004-0426-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-004-0426-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-004-0426-z","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,3]],"date-time":"2023-05-03T17:50:47Z","timestamp":1683136247000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-004-0426-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,7,6]]},"references-count":40,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2005,11]]}},"alternative-id":["426"],"URL":"https:\/\/doi.org\/10.1007\/s00500-004-0426-z","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005,7,6]]}}}