A new type of fuzzy systems in terms of vague partitions
This paper focuses on simplifying the structure of fuzzy systems and improving the precision. By regarding the fuzzy rule base as a mapping from the vague partition on the input universe to the vague partition on the output universe, we first design a new type of fuzzy system using the complete and...
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Veröffentlicht in: | Journal of intelligent & fuzzy systems 2023-06, Vol.44 (6), p.9545-9563 |
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creator | Shen, Hanhan Pan, Xiaodong Peng, Xiaoyu Dan, Yexing Qiao, Junsheng |
description | This paper focuses on simplifying the structure of fuzzy systems and improving the precision. By regarding the fuzzy rule base as a mapping from the vague partition on the input universe to the vague partition on the output universe, we first design a new type of fuzzy system using the complete and continuous fuzzy rule base in terms of vague partitions. We then exploit Weierstrass’s approximation theorem to show that this new type of fuzzy system can approximate any real continuous function on a closed interval to arbitrary accuracy and provide the corresponding approximation accuracy with respect to infinite norms. We also provide two numerical examples to illustrate the effectiveness of this new type of fuzzy system. Both theoretical and numerical results show that this new type of fuzzy system achieves the quite approximation effect with a few fuzzy rules. |
doi_str_mv | 10.3233/JIFS-223542 |
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By regarding the fuzzy rule base as a mapping from the vague partition on the input universe to the vague partition on the output universe, we first design a new type of fuzzy system using the complete and continuous fuzzy rule base in terms of vague partitions. We then exploit Weierstrass’s approximation theorem to show that this new type of fuzzy system can approximate any real continuous function on a closed interval to arbitrary accuracy and provide the corresponding approximation accuracy with respect to infinite norms. We also provide two numerical examples to illustrate the effectiveness of this new type of fuzzy system. 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By regarding the fuzzy rule base as a mapping from the vague partition on the input universe to the vague partition on the output universe, we first design a new type of fuzzy system using the complete and continuous fuzzy rule base in terms of vague partitions. We then exploit Weierstrass’s approximation theorem to show that this new type of fuzzy system can approximate any real continuous function on a closed interval to arbitrary accuracy and provide the corresponding approximation accuracy with respect to infinite norms. We also provide two numerical examples to illustrate the effectiveness of this new type of fuzzy system. Both theoretical and numerical results show that this new type of fuzzy system achieves the quite approximation effect with a few fuzzy rules.</description><subject>Approximation</subject><subject>Continuity (mathematics)</subject><subject>Fuzzy systems</subject><subject>Mathematical analysis</subject><subject>Norms</subject><subject>Universe</subject><issn>1064-1246</issn><issn>1875-8967</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNotkEtLAzEUhYMoWKsr_0DApUTzmLyWpdhaKbhQ1yGTh0yxM2OSUaa_3il1dQ_cwzmcD4Bbgh8YZezxZbN6Q5QyXtEzMCNKcqS0kOeTxqJChFbiElzlvMOYSE7xDKgFbMMvLGMfYBdhHA6HEeYxl7DPsGlhCWkS0-fHfg4B9jaVpjRdm6_BRbRfOdz83zn4WD29L5_R9nW9WS62yFGiC6o5lczXykqvCY_cei29rXFgJHjMGY_WVU4IGSOprfKaO61p1C44wiQTbA7uTrl96r6HkIvZdUNqp0pDFSVyWiLw5Lo_uVzqck4hmj41e5tGQ7A5ojFHNOaEhv0Bv25V1w</recordid><startdate>20230601</startdate><enddate>20230601</enddate><creator>Shen, Hanhan</creator><creator>Pan, Xiaodong</creator><creator>Peng, Xiaoyu</creator><creator>Dan, Yexing</creator><creator>Qiao, Junsheng</creator><general>IOS Press BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20230601</creationdate><title>A new type of fuzzy systems in terms of vague partitions</title><author>Shen, Hanhan ; Pan, Xiaodong ; Peng, Xiaoyu ; Dan, Yexing ; Qiao, Junsheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c219t-b5273db8a7d915f5ad97dab0e31ed0535fac4c667ff1ba8d95c992f9cec137363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Approximation</topic><topic>Continuity (mathematics)</topic><topic>Fuzzy systems</topic><topic>Mathematical analysis</topic><topic>Norms</topic><topic>Universe</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shen, Hanhan</creatorcontrib><creatorcontrib>Pan, Xiaodong</creatorcontrib><creatorcontrib>Peng, Xiaoyu</creatorcontrib><creatorcontrib>Dan, Yexing</creatorcontrib><creatorcontrib>Qiao, Junsheng</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Journal of intelligent & fuzzy systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shen, Hanhan</au><au>Pan, Xiaodong</au><au>Peng, Xiaoyu</au><au>Dan, Yexing</au><au>Qiao, Junsheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A new type of fuzzy systems in terms of vague partitions</atitle><jtitle>Journal of intelligent & fuzzy systems</jtitle><date>2023-06-01</date><risdate>2023</risdate><volume>44</volume><issue>6</issue><spage>9545</spage><epage>9563</epage><pages>9545-9563</pages><issn>1064-1246</issn><eissn>1875-8967</eissn><abstract>This paper focuses on simplifying the structure of fuzzy systems and improving the precision. By regarding the fuzzy rule base as a mapping from the vague partition on the input universe to the vague partition on the output universe, we first design a new type of fuzzy system using the complete and continuous fuzzy rule base in terms of vague partitions. We then exploit Weierstrass’s approximation theorem to show that this new type of fuzzy system can approximate any real continuous function on a closed interval to arbitrary accuracy and provide the corresponding approximation accuracy with respect to infinite norms. We also provide two numerical examples to illustrate the effectiveness of this new type of fuzzy system. Both theoretical and numerical results show that this new type of fuzzy system achieves the quite approximation effect with a few fuzzy rules.</abstract><cop>Amsterdam</cop><pub>IOS Press BV</pub><doi>10.3233/JIFS-223542</doi><tpages>19</tpages></addata></record> |
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subjects | Approximation Continuity (mathematics) Fuzzy systems Mathematical analysis Norms Universe |
title | A new type of fuzzy systems in terms of vague partitions |
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