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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, J | - |
| dc.contributor.author | Won, JM | - |
| dc.contributor.author | Koo, K | - |
| dc.contributor.author | Lee, JS | - |
| dc.date.accessioned | 2016-03-31T08:04:44Z | - |
| dc.date.available | 2016-03-31T08:04:44Z | - |
| dc.date.created | 2014-03-27 | - |
| dc.date.issued | 2012-01 | - |
| dc.identifier.issn | 1079-8587 | - |
| dc.identifier.other | 2012-OAK-0000029882 | - |
| dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/14512 | - |
| dc.description.abstract | In this paper, we propose a constructive method to develop a fuzzy system having a monotonic input-output relationship and prove that the developed fuzzy system can approximate any continuously differentiable monotonic function with any desired degree of accuracy. The fuzzy system is constructed with complete and consistent input membership functions and imposes special parametric constraints on the consequent part of the fuzzy rules. The monotonicity property and approximation capability of the developed fuzzy system are demonstrated using numerical examples. | - |
| dc.description.statementofresponsibility | X | - |
| dc.language | English | - |
| dc.publisher | AUTOSOFT PRESS | - |
| dc.relation.isPartOf | Intelligent Automation and Soft Computing | - |
| dc.subject | Fuzzy constraint satisfaction | - |
| dc.subject | fuzzy systems | - |
| dc.subject | monotonic fuzzy systems | - |
| dc.subject | monotonicity constraints | - |
| dc.subject | universal approximation | - |
| dc.subject | SUFFICIENT CONDITIONS | - |
| dc.subject | CONTROLLERS | - |
| dc.subject | CONSTRAINTS | - |
| dc.subject | MODELS | - |
| dc.title | Monotonic Fuzzy Systems as Universal Approximators for Monotonic Functions | - |
| dc.type | Article | - |
| dc.contributor.college | 창의IT융합공학과 | - |
| dc.identifier.doi | 10.1080/10798587.2012.10643224 | - |
| dc.author.google | Kim, J | - |
| dc.author.google | Won, JM | - |
| dc.author.google | Koo, K | - |
| dc.author.google | Lee, JS | - |
| dc.relation.volume | 18 | - |
| dc.relation.issue | 1 | - |
| dc.relation.startpage | 13 | - |
| dc.relation.lastpage | 31 | - |
| dc.contributor.id | 10200285 | - |
| dc.relation.journal | Intelligent Automation and Soft Computing | - |
| dc.relation.index | SCI급, SCOPUS 등재논문 | - |
| dc.relation.sci | SCI | - |
| dc.collections.name | Journal Papers | - |
| dc.type.rims | ART | - |
| dc.identifier.bibliographicCitation | Intelligent Automation and Soft Computing, v.18, no.1, pp.13 - 31 | - |
| dc.identifier.wosid | 000302664600002 | - |
| dc.date.tcdate | 2019-01-01 | - |
| dc.citation.endPage | 31 | - |
| dc.citation.number | 1 | - |
| dc.citation.startPage | 13 | - |
| dc.citation.title | Intelligent Automation and Soft Computing | - |
| dc.citation.volume | 18 | - |
| dc.identifier.scopusid | 2-s2.0-84862520893 | - |
| dc.description.journalClass | 1 | - |
| dc.description.journalClass | 1 | - |
| dc.description.wostc | 4 | - |
| dc.type.docType | Article | - |
| dc.subject.keywordPlus | SUFFICIENT CONDITIONS | - |
| dc.subject.keywordPlus | CONTROLLERS | - |
| dc.subject.keywordPlus | CONSTRAINTS | - |
| dc.subject.keywordPlus | MODELS | - |
| dc.subject.keywordAuthor | Fuzzy constraint satisfaction | - |
| dc.subject.keywordAuthor | fuzzy systems | - |
| dc.subject.keywordAuthor | monotonic fuzzy systems | - |
| dc.subject.keywordAuthor | monotonicity constraints | - |
| dc.subject.keywordAuthor | universal approximation | - |
| dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Automation & Control Systems | - |
| dc.relation.journalResearchArea | Computer Science | - |
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