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In this work, the author introduces an optimization of both the knowledge base structure and the inference algorithm. Hence, a new, hierarchically organized knowledge base structure is proposed as it draws on the cluster analysis method and a new forward\u2010chaining inference algorithm which searches only the so\u2010called representatives of rule clusters. Making use of the similarity approach, the algorithm tries to discover new facts (new knowledge) from rules and facts already known. The author defines and analyses four various representative generation methods for rule clusters. Experimental results contain the analysis of the impact of the proposed methods on the efficiency of a decision support system with such knowledge representation. In order to do this, four representative generation methods and various types of clustering parameters (similarity measure, clustering methods, etc.) were examined. As can be seen, the proposed modification of both the structure of knowledge base and the inference algorithm has yielded satisfactory results.<\/jats:p>","DOI":"10.1155\/2018\/2065491","type":"journal-article","created":{"date-parts":[[2018,12,6]],"date-time":"2018-12-06T23:32:57Z","timestamp":1544139177000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Enhancing the Efficiency of a Decision Support System through the Clustering of Complex Rule\u2010Based Knowledge Bases and Modification of the Inference Algorithm"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7238-1170","authenticated-orcid":false,"given":"Agnieszka","family":"Nowak-Brzezi\u0144ska","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2018,12,6]]},"reference":[{"key":"e_1_2_9_1_2","unstructured":"http:\/\/news.mit.edu\/2014\/big-fast-weird-data."},{"key":"e_1_2_9_2_2","unstructured":"https:\/\/www.cnbc.com\/2014\/02\/12\/inside-the-wacky-world-of-weird-data-whats-getting-crunched.html."},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1186\/s13634-016-0355-x"},{"volume-title":"Expert Systems: a Manager\u2019s Guide","year":"1990","author":"Wiig K. 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