{"id":"https://openalex.org/W2294420449","doi":"https://doi.org/10.1007/978-3-319-25754-9_38","title":"The Connectivity of the Covering Approximation Space","display_name":"The Connectivity of the Covering Approximation Space","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2294420449","doi":"https://doi.org/10.1007/978-3-319-25754-9_38","mag":"2294420449"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-25754-9_38","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-25754-9_38","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-25754-9_38","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079990327","display_name":"Dui-Xia Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I9356336","display_name":"Zhangzhou Normal University","ror":"https://ror.org/02vj1vm13","country_code":"CN","type":"education","lineage":["https://openalex.org/I9356336"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Duixia Ma","raw_affiliation_strings":["Lab of Granular Computing, Minnan Normal University, Zhangzhou, China"],"affiliations":[{"raw_affiliation_string":"Lab of Granular Computing, Minnan Normal University, Zhangzhou, China","institution_ids":["https://openalex.org/I9356336"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078911343","display_name":"William Zhu","orcid":"https://orcid.org/0000-0001-8898-9244"},"institutions":[{"id":"https://openalex.org/I9356336","display_name":"Zhangzhou Normal University","ror":"https://ror.org/02vj1vm13","country_code":"CN","type":"education","lineage":["https://openalex.org/I9356336"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"William Zhu","raw_affiliation_strings":["Lab of Granular Computing, Minnan Normal University, Zhangzhou, China"],"affiliations":[{"raw_affiliation_string":"Lab of Granular Computing, Minnan Normal University, Zhangzhou, China","institution_ids":["https://openalex.org/I9356336"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079990327"],"corresponding_institution_ids":["https://openalex.org/I9356336"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14860978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"435","last_page":"445"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":0.955299973487854,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.954200029373169,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.7042747735977173},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6706969738006592},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.6250059008598328},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.6211585402488708},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4175231158733368},{"id":"https://openalex.org/keywords/data-space","display_name":"Data space","score":0.41084399819374084},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35855308175086975},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31670081615448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28181982040405273},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25831228494644165},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.24799329042434692}],"concepts":[{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.7042747735977173},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6706969738006592},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.6250059008598328},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.6211585402488708},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4175231158733368},{"id":"https://openalex.org/C2988382989","wikidata":"https://www.wikidata.org/wiki/Q370685","display_name":"Data space","level":2,"score":0.41084399819374084},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35855308175086975},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31670081615448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28181982040405273},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25831228494644165},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.24799329042434692},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-25754-9_38","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-25754-9_38","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-25754-9_38","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-25754-9_38","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W35443423","https://openalex.org/W79236063","https://openalex.org/W1479863711","https://openalex.org/W1536681184","https://openalex.org/W1557923305","https://openalex.org/W1591618909","https://openalex.org/W1779800759","https://openalex.org/W1964432381","https://openalex.org/W2004308928","https://openalex.org/W2023441160","https://openalex.org/W2024638676","https://openalex.org/W2027654459","https://openalex.org/W2031978194","https://openalex.org/W2041596646","https://openalex.org/W2044758434","https://openalex.org/W2052248354","https://openalex.org/W2063702913","https://openalex.org/W2134866037","https://openalex.org/W2143451122","https://openalex.org/W2541813980","https://openalex.org/W2784007560","https://openalex.org/W2912565176","https://openalex.org/W3141776272","https://openalex.org/W4211007335","https://openalex.org/W4232953319","https://openalex.org/W4237496336","https://openalex.org/W4255833381","https://openalex.org/W4285719527","https://openalex.org/W6628682275"],"related_works":["https://openalex.org/W2947806671","https://openalex.org/W2390878257","https://openalex.org/W2144260821","https://openalex.org/W2141163797","https://openalex.org/W2911306209","https://openalex.org/W2118922860","https://openalex.org/W4313429348","https://openalex.org/W3048313722","https://openalex.org/W2795004110","https://openalex.org/W2533120240"],"abstract_inverted_index":{"As":[0],"a":[1,9,32,49,64,74,103,114],"covering":[2,33,50,75,90,104],"approximation":[3,34,51,91,105],"space,":[4],"its":[5,38,77],"connectivity":[6,30,87,101],"directly":[7],"reflects":[8],"relationship,":[10],"which":[11],"plays":[12],"an":[13],"important":[14],"role":[15],"in":[16],"data":[17],"mining,":[18],"among":[19],"elements":[20],"on":[21],"the":[22,29,58,61,80,86,100,108],"universe.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27,42,71,84,94],"study":[28],"of":[31,60,63,66,88,98,102,110],"space":[35,52,106],"and":[36,76,113],"give":[37,43,95],"connected":[39,54],"component.":[40],"Especially,":[41],"three":[44,96],"methods":[45,97],"to":[46],"judge":[47],"whether":[48],"is":[53,68],"or":[55],"not.":[56],"Firstly,":[57],"conception":[59],"maximization":[62,78],"family":[65],"sets":[67],"given.":[69],"Particularly,":[70],"find":[72],"that":[73],"have":[79],"same":[81],"connectivity.":[82],"Second,":[83],"investigate":[85],"special":[89],"spaces.":[92],"Finally,":[93],"judging":[99],"from":[107],"viewpoint":[109],"matrix,":[111],"graph":[112],"new":[115],"covering.":[116]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
