{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:10:24Z","timestamp":1760145024295,"version":"build-2065373602"},"reference-count":51,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2024,6,11]],"date-time":"2024-06-11T00:00:00Z","timestamp":1718064000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computation"],"abstract":"<jats:p>This article describes an approach for optimizing sensor-controlled systems through minimal intervention, utilizing fuzzy linear systems of equations (FLSEs). Starting with a generalized model of the system behavior, we incorporate an array of control units, environmental sensors, and an expert knowledge base. The described problems of detecting the level of intervention needed to change the system state to another is handled with the help of developed methods for solving the inverse problem faced by FLSEs. By achieving minimal intervention, we ensure that the system adjustments are effective, economically optimal, and non-intrusive. A MATLAB-based implementation is presented.<\/jats:p>","DOI":"10.3390\/computation12060121","type":"journal-article","created":{"date-parts":[[2024,6,11]],"date-time":"2024-06-11T11:58:58Z","timestamp":1718107138000},"page":"121","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Optimizing Sensor-Controlled Systems with Minimal Intervention: A Fuzzy Relational Calculus Approach"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3837-6359","authenticated-orcid":false,"given":"Zlatko","family":"Zahariev","sequence":"first","affiliation":[{"name":"Faculty of Applied Mathematics and Informatics, Technical University of Sofia, 8 Kliment Ohridski Blvd, 1000 Sofia, Bulgaria"}]}],"member":"1968","published-online":{"date-parts":[[2024,6,11]]},"reference":[{"key":"ref_1","first-page":"291","article-title":"Analytical solution methods for fuzzy relational equations","volume":"Volume 1","author":"Dubois","year":"2000","journal-title":"Fundamentals of Fuzzy Sets"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Di Nola, A., Pedrycz, W., Sessa, S., and Sanchez, E. 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