Research of fuzzy implications via fuzzy linear regression in a eutrophic waterbody
Aquatic ecosystems play an important role in maintaining the balance of the environment. These volatile systems require detailed analysis for a better-understanding of their processes. Lake Karla in Thessaly (Greece) is an ideal example of research as a changeable system, since it is an ecosystem in...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 1 |
container_start_page | |
container_title | |
container_volume | 1978 |
creator | Ellina, G. Papaschinopoulos, G. Papadopoulos, B. K. |
description | Aquatic ecosystems play an important role in maintaining the balance of the environment. These volatile systems require detailed analysis for a better-understanding of their processes. Lake Karla in Thessaly (Greece) is an ideal example of research as a changeable system, since it is an ecosystem in which biotic and abiotic factors affect its environmental status. For this reason, in this research, we are going to use fuzzy logic method, so as to investigate fuzzy implications with the aid of fuzzy linear regression in order to find the best implication which expresses better this ecosystem. |
doi_str_mv | 10.1063/1.5043914 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>proquest_scita</sourceid><recordid>TN_cdi_proquest_journals_2087639782</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2087639782</sourcerecordid><originalsourceid>FETCH-LOGICAL-c293t-3b2bc4679f095b0d2759df804956bc8265ef4f61e3d6d9b62a3ed77f53528db83</originalsourceid><addsrcrecordid>eNp9kEtLAzEUhYMoWKsL_0HAnTA170yWUrQKBcEHuAuZPGxKOzMmM5X21zvagjtXF879zr2cA8AlRhOMBL3BE44YVZgdgRHmHBdSYHEMRggpVhBG30_BWc5LhIiSshyBl2efvUl2AZsAQ7_bbWFct6toTRebOsNNNAd5FesBhMl_JJ_zsISxhgb6vktNu4gWfpnOp6px23NwEswq-4vDHIO3-7vX6UMxf5o9Tm_nhSWKdgWtSGWZkCogxSvkiOTKhRIxxUVlSyK4DywI7KkTTlWCGOqdlIFTTkpXlXQMrvZ329R89j53etn0qR5eaoJKKaiSJRmo6z2Vbex-U-k2xbVJW71pksb6UJhuXfgPxkj_NPxnoN-Mkm3g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype><pqid>2087639782</pqid></control><display><type>conference_proceeding</type><title>Research of fuzzy implications via fuzzy linear regression in a eutrophic waterbody</title><source>AIP Journals Complete</source><creator>Ellina, G. ; Papaschinopoulos, G. ; Papadopoulos, B. K.</creator><contributor>Simos, Theodore ; Tsitouras, Charalambos</contributor><creatorcontrib>Ellina, G. ; Papaschinopoulos, G. ; Papadopoulos, B. K. ; Simos, Theodore ; Tsitouras, Charalambos</creatorcontrib><description>Aquatic ecosystems play an important role in maintaining the balance of the environment. These volatile systems require detailed analysis for a better-understanding of their processes. Lake Karla in Thessaly (Greece) is an ideal example of research as a changeable system, since it is an ecosystem in which biotic and abiotic factors affect its environmental status. For this reason, in this research, we are going to use fuzzy logic method, so as to investigate fuzzy implications with the aid of fuzzy linear regression in order to find the best implication which expresses better this ecosystem.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/1.5043914</identifier><identifier>CODEN: APCPCS</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Ecosystems ; Eutrophic waters ; Eutrophication ; Fuzzy logic ; Regression analysis</subject><ispartof>AIP Conference Proceedings, 2018, Vol.1978 (1)</ispartof><rights>Author(s)</rights><rights>2018 Author(s). Published by AIP Publishing.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-3b2bc4679f095b0d2759df804956bc8265ef4f61e3d6d9b62a3ed77f53528db83</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://pubs.aip.org/acp/article-lookup/doi/10.1063/1.5043914$$EHTML$$P50$$Gscitation$$H</linktohtml><link.rule.ids>309,310,314,780,784,789,790,794,4512,23930,23931,25140,27924,27925,76384</link.rule.ids></links><search><contributor>Simos, Theodore</contributor><contributor>Tsitouras, Charalambos</contributor><creatorcontrib>Ellina, G.</creatorcontrib><creatorcontrib>Papaschinopoulos, G.</creatorcontrib><creatorcontrib>Papadopoulos, B. K.</creatorcontrib><title>Research of fuzzy implications via fuzzy linear regression in a eutrophic waterbody</title><title>AIP Conference Proceedings</title><description>Aquatic ecosystems play an important role in maintaining the balance of the environment. These volatile systems require detailed analysis for a better-understanding of their processes. Lake Karla in Thessaly (Greece) is an ideal example of research as a changeable system, since it is an ecosystem in which biotic and abiotic factors affect its environmental status. For this reason, in this research, we are going to use fuzzy logic method, so as to investigate fuzzy implications with the aid of fuzzy linear regression in order to find the best implication which expresses better this ecosystem.</description><subject>Ecosystems</subject><subject>Eutrophic waters</subject><subject>Eutrophication</subject><subject>Fuzzy logic</subject><subject>Regression analysis</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2018</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNp9kEtLAzEUhYMoWKsL_0HAnTA170yWUrQKBcEHuAuZPGxKOzMmM5X21zvagjtXF879zr2cA8AlRhOMBL3BE44YVZgdgRHmHBdSYHEMRggpVhBG30_BWc5LhIiSshyBl2efvUl2AZsAQ7_bbWFct6toTRebOsNNNAd5FesBhMl_JJ_zsISxhgb6vktNu4gWfpnOp6px23NwEswq-4vDHIO3-7vX6UMxf5o9Tm_nhSWKdgWtSGWZkCogxSvkiOTKhRIxxUVlSyK4DywI7KkTTlWCGOqdlIFTTkpXlXQMrvZ329R89j53etn0qR5eaoJKKaiSJRmo6z2Vbex-U-k2xbVJW71pksb6UJhuXfgPxkj_NPxnoN-Mkm3g</recordid><startdate>20180710</startdate><enddate>20180710</enddate><creator>Ellina, G.</creator><creator>Papaschinopoulos, G.</creator><creator>Papadopoulos, B. K.</creator><general>American Institute of Physics</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20180710</creationdate><title>Research of fuzzy implications via fuzzy linear regression in a eutrophic waterbody</title><author>Ellina, G. ; Papaschinopoulos, G. ; Papadopoulos, B. K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-3b2bc4679f095b0d2759df804956bc8265ef4f61e3d6d9b62a3ed77f53528db83</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Ecosystems</topic><topic>Eutrophic waters</topic><topic>Eutrophication</topic><topic>Fuzzy logic</topic><topic>Regression analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ellina, G.</creatorcontrib><creatorcontrib>Papaschinopoulos, G.</creatorcontrib><creatorcontrib>Papadopoulos, B. K.</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ellina, G.</au><au>Papaschinopoulos, G.</au><au>Papadopoulos, B. K.</au><au>Simos, Theodore</au><au>Tsitouras, Charalambos</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Research of fuzzy implications via fuzzy linear regression in a eutrophic waterbody</atitle><btitle>AIP Conference Proceedings</btitle><date>2018-07-10</date><risdate>2018</risdate><volume>1978</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>Aquatic ecosystems play an important role in maintaining the balance of the environment. These volatile systems require detailed analysis for a better-understanding of their processes. Lake Karla in Thessaly (Greece) is an ideal example of research as a changeable system, since it is an ecosystem in which biotic and abiotic factors affect its environmental status. For this reason, in this research, we are going to use fuzzy logic method, so as to investigate fuzzy implications with the aid of fuzzy linear regression in order to find the best implication which expresses better this ecosystem.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/1.5043914</doi><tpages>5</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0094-243X |
ispartof | AIP Conference Proceedings, 2018, Vol.1978 (1) |
issn | 0094-243X 1551-7616 |
language | eng |
recordid | cdi_proquest_journals_2087639782 |
source | AIP Journals Complete |
subjects | Ecosystems Eutrophic waters Eutrophication Fuzzy logic Regression analysis |
title | Research of fuzzy implications via fuzzy linear regression in a eutrophic waterbody |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T01%3A19%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_scita&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Research%20of%20fuzzy%20implications%20via%20fuzzy%20linear%20regression%20in%20a%20eutrophic%20waterbody&rft.btitle=AIP%20Conference%20Proceedings&rft.au=Ellina,%20G.&rft.date=2018-07-10&rft.volume=1978&rft.issue=1&rft.issn=0094-243X&rft.eissn=1551-7616&rft.coden=APCPCS&rft_id=info:doi/10.1063/1.5043914&rft_dat=%3Cproquest_scita%3E2087639782%3C/proquest_scita%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2087639782&rft_id=info:pmid/&rfr_iscdi=true |