{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T14:23:04Z","timestamp":1761920584886},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030209117"},{"type":"electronic","value":"9783030209124"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-20912-4_34","type":"book-chapter","created":{"date-parts":[[2019,5,26]],"date-time":"2019-05-26T23:02:29Z","timestamp":1558911749000},"page":"358-372","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["On Explainable Recommender Systems Based on Fuzzy Rule Generation Techniques"],"prefix":"10.1007","author":[{"given":"Tomasz","family":"Rutkowski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Krystian","family":"\u0141apa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert","family":"Nowicki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rados\u0142aw","family":"Nielek","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Konrad","family":"Grzanek","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,5,24]]},"reference":[{"issue":"4","key":"34_CR1","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1515\/jaiscr-2017-0019","volume":"7","author":"G Bologna","year":"2017","unstructured":"Bologna, G., Hayashi, Y.: Characterization of symbolic rules embedded in deep DIMLP networks: a challenge to transparency of deep learning. J. Artif. Intell. Soft Comput. Res. 7(4), 265\u2013286 (2017)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"4","key":"34_CR2","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1023\/A:1021240730564","volume":"12","author":"R Burke","year":"2002","unstructured":"Burke, R.: Hybrid recommender systems: survey and experiments. User Model. User-Adap. Inter. 12(4), 331\u2013370 (2002)","journal-title":"User Model. User-Adap. Inter."},{"issue":"3","key":"34_CR3","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1515\/jaiscr-2018-0013","volume":"8","author":"G D\u2019Aniello","year":"2018","unstructured":"D\u2019Aniello, G., Gaeta, M., Loia, F., Reformat, M., Toti, D.: An environment for collective perception based on fuzzy and semantic approaches. J. Artif. Intell. Soft Comput. Res. 8(3), 191\u2013210 (2018)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"3","key":"34_CR4","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1515\/jaiscr-2018-0014","volume":"8","author":"D Dawar","year":"2018","unstructured":"Dawar, D., Ludwig, S.A.: Effect of strategy adaptation on differential evolution in presence and absence of parameter adaptation: an investigation. J. Artif. Intell. Soft Comput. Res. 8(3), 211\u2013235 (2018)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"key":"34_CR5","unstructured":"Doran, D., Schulz, S., Besold, T.R.: What does explainable AI really mean? A new conceptualization of perspectives. CoRR, abs\/1710.00794 (2017)"},{"issue":"2","key":"34_CR6","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1007\/s00521-017-3272-5","volume":"30","author":"H Faris","year":"2018","unstructured":"Faris, H., et al.: Grey wolf optimizer: a review of recent variants and applications. Neural Comput. Appl. 30(2), 413\u2013435 (2018)","journal-title":"Neural Comput. Appl."},{"issue":"4","key":"34_CR7","first-page":"19","volume":"5","author":"FM Harper","year":"2016","unstructured":"Harper, F.M., Konstan, J.A.: The MovieLens datasets: history and context. ACM Trans. Interact. Intell. Syst. (TiiS) 5(4), 19 (2016)","journal-title":"ACM Trans. Interact. Intell. Syst. (TiiS)"},{"key":"34_CR8","doi-asserted-by":"publisher","first-page":"630","DOI":"10.1016\/j.energy.2016.05.105","volume":"111","author":"T Jayabarathi","year":"2016","unstructured":"Jayabarathi, T., et al.: Economic dispatch using hybrid grey wolf optimizer. Energy 111, 630\u2013641 (2016)","journal-title":"Energy"},{"key":"34_CR9","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1145\/3233231","volume":"61","author":"ZC Lipton","year":"2018","unstructured":"Lipton, Z.C.: The mythos of model interpretability. Commun. ACM 61, 36\u201343 (2018)","journal-title":"Commun. ACM"},{"issue":"2","key":"34_CR10","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1515\/jaiscr-2017-0008","volume":"7","author":"H Liu","year":"2017","unstructured":"Liu, H., Gegov, A., Cocea, M.: Rule based networks: an efficient and interpretable representation of computational models. J. Artif. Intell. Soft Comput. Res. 7(2), 111\u2013123 (2017)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"key":"34_CR11","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","volume":"69","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili, S., Mirjalili, S.M., Lewis, A.: Grey wolf optimizer. Adv. Eng. Softw. 69, 46\u201361 (2014)","journal-title":"Adv. Eng. Softw."},{"key":"34_CR12","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1155\/2016\/7950348","volume":"2016","author":"N Mittal","year":"2016","unstructured":"Mittal, N., Singh, U., Sohi, B.S.: Modified grey wolf optimizer for global engineering optimization. Appl. Comput. Intell. Soft Comput. 2016, 8 (2016)","journal-title":"Appl. Comput. Intell. Soft Comput."},{"key":"34_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1007\/978-3-540-72079-9_10","volume-title":"The Adaptive Web","author":"MJ Pazzani","year":"2007","unstructured":"Pazzani, M.J., Billsus, D.: Content-based recommendation systems. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) The Adaptive Web. LNCS, vol. 4321, pp. 325\u2013341. Springer, Heidelberg (2007). \n                      https:\/\/doi.org\/10.1007\/978-3-540-72079-9_10"},{"issue":"1","key":"34_CR14","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1515\/jaiscr-2017-0003","volume":"7","author":"M Prasad","year":"2017","unstructured":"Prasad, M., Liu, Y.-T., Li, D.-L., Lin, C.-T., Shah, R.R., Kaiwartya, O.P.: A new mechanism for data visualization with Tsk-type preprocessed collaborative fuzzy rule based system. J. Artif. Intell. Soft Comput. Res. 7(1), 33\u201346 (2017)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"2","key":"34_CR15","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1515\/jaiscr-2017-0010","volume":"7","author":"A Riid","year":"2017","unstructured":"Riid, A., Preden, J.-S.: Design of fuzzy rule-based classifiers through granulation and consolidation. J. Artif. Intell. Soft Comput. Res. 7(2), 137\u2013147 (2017)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"key":"34_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-76288-1","volume-title":"Computational Intelligence: Methods and Techniques","author":"L Rutkowski","year":"2008","unstructured":"Rutkowski, L.: Computational Intelligence: Methods and Techniques. Springer, Heidelberg (2008). \n                      https:\/\/doi.org\/10.1007\/978-3-540-76288-1"},{"key":"34_CR17","doi-asserted-by":"crossref","unstructured":"Rutkowski, T., et al.: A content-based recommendation system using neuro-fuzzy approach. In: 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE (2018)","DOI":"10.1109\/FUZZ-IEEE.2018.8491543"},{"issue":"2","key":"34_CR18","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1515\/jaiscr-2018-0007","volume":"8","author":"S Sadiqbatcha","year":"2018","unstructured":"Sadiqbatcha, S., Jafarzadeh, S., Ampatzidis, Y.: Particle swarm optimization for solving a class of type-1 and type-2 fuzzy nonlinear equations. J. Artif. Intell. Soft Comput. Res. 8(2), 103\u2013110 (2018)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"key":"34_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1007\/978-3-540-72079-9_9","volume-title":"The Adaptive Web","author":"JB Schafer","year":"2007","unstructured":"Schafer, J.B., Frankowski, D., Herlocker, J., Sen, S.: Collaborative filtering recommender systems. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) The Adaptive Web. LNCS, vol. 4321, pp. 291\u2013324. Springer, Heidelberg (2007). \n                      https:\/\/doi.org\/10.1007\/978-3-540-72079-9_9"},{"key":"34_CR20","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/j.soildyn.2015.04.004","volume":"75","author":"X Song","year":"2015","unstructured":"Song, X., et al.: Grey Wolf Optimizer for parameter estimation in surface waves. Soil Dyn. Earthq. Eng. 75, 147\u2013157 (2015)","journal-title":"Soil Dyn. Earthq. Eng."}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-20912-4_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,26]],"date-time":"2019-05-26T23:15:52Z","timestamp":1558912552000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-20912-4_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030209117","9783030209124"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-20912-4_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"24 May 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICAISC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence and Soft Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zakopane","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icaisc2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/icaisc.eu\/About","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"Own online software","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"333","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"122","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"37% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}