The ordered weighted geometric averaging operators
The ordered weighted averaging (OWA) operator was introduced by Yager.1 The fundamental aspect of the OWA operator is a reordering step in which the input arguments are rearranged in descending order. In this article, we propose two new classes of aggregation operators called ordered weighted geomet...
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| Veröffentlicht in: | International journal of intelligent systems 2002-07, Vol.17 (7), p.709-716 |
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| container_title | International journal of intelligent systems |
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| creator | Xu, Z. S. Da, Q. L. |
| description | The ordered weighted averaging (OWA) operator was introduced by Yager.1 The
fundamental aspect of the OWA operator is a reordering step in which the input arguments are rearranged in
descending order. In this article, we propose two new classes of aggregation operators called ordered weighted
geometric averaging (OWGA) operators and study some desired properties of these operators. Some methods
for obtaining the associated weighting parameters are discussed, and the relationship between the OWA and DOWGA
operators is also investigated. © 2002 Wiley Periodicals, Inc. |
| doi_str_mv | 10.1002/int.10045 |
| format | Article |
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fundamental aspect of the OWA operator is a reordering step in which the input arguments are rearranged in
descending order. In this article, we propose two new classes of aggregation operators called ordered weighted
geometric averaging (OWGA) operators and study some desired properties of these operators. Some methods
for obtaining the associated weighting parameters are discussed, and the relationship between the OWA and DOWGA
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descending order. In this article, we propose two new classes of aggregation operators called ordered weighted
geometric averaging (OWGA) operators and study some desired properties of these operators. Some methods
for obtaining the associated weighting parameters are discussed, and the relationship between the OWA and DOWGA
operators is also investigated. © 2002 Wiley Periodicals, Inc.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Problem solving, game playing</subject><issn>0884-8173</issn><issn>1098-111X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><recordid>eNp1kMFPwjAchRujiYge_A920cTD5Nd2W9ujIQokBBODgXhpuq4b1cGwHSL_vcOhnjy9d_jed3gIXWK4xQCkZ1f1vkTxEepgEDzEGM-PUQc4j0KOGT1FZ96_AmDMoriDyHRhgsplxpks2BpbLOqmFKZamtpZHagP41RhV0VQrZtWV86fo5Ncld5cHLKLnh_up_1hOH4cjPp341BHgOMwTXQapQIrwbRgwIDjJCExUZRzAoJQkecsEyyFLMlSI3QMSapoCozlmRGCdtF161276n1jfC2X1mtTlmplqo2XhLFECL4Hb1pQu8p7Z3K5dnap3E5ikPtXZPOK_H6lYa8OUuW1KnOnVtr6vwFlEaYEGq7Xcltbmt3_QjmaTH_MYbuwvjafvwvl3mTCKIvlbDKQFIbzp1n_RU7oF6Jofv0</recordid><startdate>200207</startdate><enddate>200207</enddate><creator>Xu, Z. S.</creator><creator>Da, Q. L.</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><general>Wiley</general><scope>BSCLL</scope><scope>IQODW</scope><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>200207</creationdate><title>The ordered weighted geometric averaging operators</title><author>Xu, Z. S. ; Da, Q. L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4015-b6cb4b91a97c970708166252a388209239ff7d97b0d6dbe9c506ba3b077fde993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>Problem solving, game playing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Z. S.</creatorcontrib><creatorcontrib>Da, Q. L.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><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>International journal of intelligent systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Z. S.</au><au>Da, Q. L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The ordered weighted geometric averaging operators</atitle><jtitle>International journal of intelligent systems</jtitle><addtitle>Int. J. Intell. Syst</addtitle><date>2002-07</date><risdate>2002</risdate><volume>17</volume><issue>7</issue><spage>709</spage><epage>716</epage><pages>709-716</pages><issn>0884-8173</issn><eissn>1098-111X</eissn><coden>IJISED</coden><abstract>The ordered weighted averaging (OWA) operator was introduced by Yager.1 The
fundamental aspect of the OWA operator is a reordering step in which the input arguments are rearranged in
descending order. In this article, we propose two new classes of aggregation operators called ordered weighted
geometric averaging (OWGA) operators and study some desired properties of these operators. Some methods
for obtaining the associated weighting parameters are discussed, and the relationship between the OWA and DOWGA
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| source | Wiley Online Library Journals Frontfile Complete |
| subjects | Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Problem solving, game playing |
| title | The ordered weighted geometric averaging operators |
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