An adaptive fuzzy model to evaluate technological evolution
Fuzzy Expert Systems can be applied to study the evolution of an idea, process or methodoloy from a position of full acceptance and widespread use to one of total rejection and disuse. This paper describes the application of such methods to assess bioaccumulation risk from mercury used in gold minin...
Gespeichert in:
| Veröffentlicht in: | Minerals engineering 1998-07, Vol.11 (7), p.597-604 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 604 |
|---|---|
| container_issue | 7 |
| container_start_page | 597 |
| container_title | Minerals engineering |
| container_volume | 11 |
| creator | Meech, J.A. Veiga, M.M. |
| description | Fuzzy Expert Systems can be applied to study the evolution of an idea, process or methodoloy from a position of full acceptance and widespread use to one of total rejection and disuse. This paper describes the application of such methods to assess bioaccumulation risk from mercury used in gold mining regions around the World.
HgEx is a heuristic expert system which accomodates imprecise data for pH, Eh, water conductivity, biomass productivity, water transparency and degree contamination. Inaccurate or vague data can be input to describe background and sediment assays, or alternatively, measurements are transformed into linguistic expressions with respective Degrees of Belief to feed heuristic models based on neural network equations. The paper presents this fuzzy adaptive method and shows its potential for modelling cases such as AIDS research, technological innovation and other risk-assessment problems. |
| doi_str_mv | 10.1016/S0892-6875(98)00044-2 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_26674065</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0892687598000442</els_id><sourcerecordid>26674065</sourcerecordid><originalsourceid>FETCH-LOGICAL-c352t-9f3ed0ab681c6780d220259be8c8b2e93060fbcdfe136446f209d129121ef8eb3</originalsourceid><addsrcrecordid>eNqFkE1LxDAQhoMouK7-BKEHET1UkzRNEzzIsvgFCx7Uc0jTiUa6zZqkC7u_3u4HXj0NDM87L_MgdE7wDcGE375hIWnORVVeSXGNMWYspwdoRERFc8kYO0SjP-QYncT4PUBlJeQI3U26TDd6kdwSMtuv16ts7htos-QzWOq21wmyBOar863_dEa3w9q3fXK-O0VHVrcRzvZzjD4eH96nz_ns9ellOpnlpihpyqUtoMG65oIYXgncUIppKWsQRtQUZIE5trVpLJCCM8YtxbIhVBJKwAqoizG63N1dBP_TQ0xq7qKBttUd-D4qynnFMC8HsNyBJvgYA1i1CG6uw0oRrDaq1FaV2nhQUqitKkWH3MW-QMfhQxt0Z1z8C9OCEYw32P0Og-HZpYOgonHQGWhcAJNU490_Rb8XMX01</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>26674065</pqid></control><display><type>article</type><title>An adaptive fuzzy model to evaluate technological evolution</title><source>ScienceDirect Journals (5 years ago - present)</source><creator>Meech, J.A. ; Veiga, M.M.</creator><creatorcontrib>Meech, J.A. ; Veiga, M.M.</creatorcontrib><description>Fuzzy Expert Systems can be applied to study the evolution of an idea, process or methodoloy from a position of full acceptance and widespread use to one of total rejection and disuse. This paper describes the application of such methods to assess bioaccumulation risk from mercury used in gold mining regions around the World.
HgEx is a heuristic expert system which accomodates imprecise data for pH, Eh, water conductivity, biomass productivity, water transparency and degree contamination. Inaccurate or vague data can be input to describe background and sediment assays, or alternatively, measurements are transformed into linguistic expressions with respective Degrees of Belief to feed heuristic models based on neural network equations. The paper presents this fuzzy adaptive method and shows its potential for modelling cases such as AIDS research, technological innovation and other risk-assessment problems.</description><identifier>ISSN: 0892-6875</identifier><identifier>EISSN: 1872-9444</identifier><identifier>DOI: 10.1016/S0892-6875(98)00044-2</identifier><identifier>CODEN: MENGEB</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Applied sciences ; Biological and physicochemical properties of pollutants. Interaction in the soil ; environmental ; Exact sciences and technology ; Expert systems ; gold areas ; neural network ; Pollution ; Soil and sediments pollution</subject><ispartof>Minerals engineering, 1998-07, Vol.11 (7), p.597-604</ispartof><rights>1998</rights><rights>1998 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c352t-9f3ed0ab681c6780d220259be8c8b2e93060fbcdfe136446f209d129121ef8eb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/S0892-6875(98)00044-2$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=2341002$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Meech, J.A.</creatorcontrib><creatorcontrib>Veiga, M.M.</creatorcontrib><title>An adaptive fuzzy model to evaluate technological evolution</title><title>Minerals engineering</title><description>Fuzzy Expert Systems can be applied to study the evolution of an idea, process or methodoloy from a position of full acceptance and widespread use to one of total rejection and disuse. This paper describes the application of such methods to assess bioaccumulation risk from mercury used in gold mining regions around the World.
HgEx is a heuristic expert system which accomodates imprecise data for pH, Eh, water conductivity, biomass productivity, water transparency and degree contamination. Inaccurate or vague data can be input to describe background and sediment assays, or alternatively, measurements are transformed into linguistic expressions with respective Degrees of Belief to feed heuristic models based on neural network equations. The paper presents this fuzzy adaptive method and shows its potential for modelling cases such as AIDS research, technological innovation and other risk-assessment problems.</description><subject>Applied sciences</subject><subject>Biological and physicochemical properties of pollutants. Interaction in the soil</subject><subject>environmental</subject><subject>Exact sciences and technology</subject><subject>Expert systems</subject><subject>gold areas</subject><subject>neural network</subject><subject>Pollution</subject><subject>Soil and sediments pollution</subject><issn>0892-6875</issn><issn>1872-9444</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><recordid>eNqFkE1LxDAQhoMouK7-BKEHET1UkzRNEzzIsvgFCx7Uc0jTiUa6zZqkC7u_3u4HXj0NDM87L_MgdE7wDcGE375hIWnORVVeSXGNMWYspwdoRERFc8kYO0SjP-QYncT4PUBlJeQI3U26TDd6kdwSMtuv16ts7htos-QzWOq21wmyBOar863_dEa3w9q3fXK-O0VHVrcRzvZzjD4eH96nz_ns9ellOpnlpihpyqUtoMG65oIYXgncUIppKWsQRtQUZIE5trVpLJCCM8YtxbIhVBJKwAqoizG63N1dBP_TQ0xq7qKBttUd-D4qynnFMC8HsNyBJvgYA1i1CG6uw0oRrDaq1FaV2nhQUqitKkWH3MW-QMfhQxt0Z1z8C9OCEYw32P0Og-HZpYOgonHQGWhcAJNU490_Rb8XMX01</recordid><startdate>19980701</startdate><enddate>19980701</enddate><creator>Meech, J.A.</creator><creator>Veiga, M.M.</creator><general>Elsevier Ltd</general><general>Elsevier Science</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope></search><sort><creationdate>19980701</creationdate><title>An adaptive fuzzy model to evaluate technological evolution</title><author>Meech, J.A. ; Veiga, M.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c352t-9f3ed0ab681c6780d220259be8c8b2e93060fbcdfe136446f209d129121ef8eb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Applied sciences</topic><topic>Biological and physicochemical properties of pollutants. Interaction in the soil</topic><topic>environmental</topic><topic>Exact sciences and technology</topic><topic>Expert systems</topic><topic>gold areas</topic><topic>neural network</topic><topic>Pollution</topic><topic>Soil and sediments pollution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Meech, J.A.</creatorcontrib><creatorcontrib>Veiga, M.M.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><jtitle>Minerals engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Meech, J.A.</au><au>Veiga, M.M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An adaptive fuzzy model to evaluate technological evolution</atitle><jtitle>Minerals engineering</jtitle><date>1998-07-01</date><risdate>1998</risdate><volume>11</volume><issue>7</issue><spage>597</spage><epage>604</epage><pages>597-604</pages><issn>0892-6875</issn><eissn>1872-9444</eissn><coden>MENGEB</coden><abstract>Fuzzy Expert Systems can be applied to study the evolution of an idea, process or methodoloy from a position of full acceptance and widespread use to one of total rejection and disuse. This paper describes the application of such methods to assess bioaccumulation risk from mercury used in gold mining regions around the World.
HgEx is a heuristic expert system which accomodates imprecise data for pH, Eh, water conductivity, biomass productivity, water transparency and degree contamination. Inaccurate or vague data can be input to describe background and sediment assays, or alternatively, measurements are transformed into linguistic expressions with respective Degrees of Belief to feed heuristic models based on neural network equations. The paper presents this fuzzy adaptive method and shows its potential for modelling cases such as AIDS research, technological innovation and other risk-assessment problems.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/S0892-6875(98)00044-2</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0892-6875 |
| ispartof | Minerals engineering, 1998-07, Vol.11 (7), p.597-604 |
| issn | 0892-6875 1872-9444 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_26674065 |
| source | ScienceDirect Journals (5 years ago - present) |
| subjects | Applied sciences Biological and physicochemical properties of pollutants. Interaction in the soil environmental Exact sciences and technology Expert systems gold areas neural network Pollution Soil and sediments pollution |
| title | An adaptive fuzzy model to evaluate technological evolution |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T01%3A38%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20adaptive%20fuzzy%20model%20to%20evaluate%20technological%20evolution&rft.jtitle=Minerals%20engineering&rft.au=Meech,%20J.A.&rft.date=1998-07-01&rft.volume=11&rft.issue=7&rft.spage=597&rft.epage=604&rft.pages=597-604&rft.issn=0892-6875&rft.eissn=1872-9444&rft.coden=MENGEB&rft_id=info:doi/10.1016/S0892-6875(98)00044-2&rft_dat=%3Cproquest_cross%3E26674065%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=26674065&rft_id=info:pmid/&rft_els_id=S0892687598000442&rfr_iscdi=true |