FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2952741605> ?p ?o ?g. }

• W2952741605 endingPage "105572" @default.
• W2952741605 startingPage "105572" @default.
• W2952741605 abstract "The probabilistic linguistic term set is a powerful tool to express and characterize people’s cognitive complex information and thus has obtained a great development in the last several years. To better use the probabilistic linguistic term sets in decision making, information measures such as the distance measure, similarity measure, entropy measure and correlation measure should be defined. However, as an important kind of information measure, the inclusion measure has not been defined by scholars. This study aims to propose the inclusion measure for probabilistic linguistic term sets. Formulas to calculate the inclusion degrees are put forward Then, we introduce the normalized axiomatic definitions of the distance, similarity and entropy measures of probabilistic linguistic term sets to construct a unified framework of information measures for probabilistic linguistic term sets. Based on these definitions, we present the relationships and transformation functions among the distance, similarity, entropy and inclusion measures. We believe that more formulas to calculate the distance, similarity, inclusion degree and entropy can be induced based on these transformation functions. Finally, we put forward an orthogonal clustering algorithm based on the inclusion measure and use it in classifying cities in the Economic Zone of Chengdu Plain, China." @default.
• W2952741605 created "2019-06-27" @default.
• W2952741605 creator A5004147709 @default.
• W2952741605 creator A5038996322 @default.
• W2952741605 creator A5073568638 @default.
• W2952741605 creator A5083467166 @default.
• W2952741605 date "2019-09-01" @default.
• W2952741605 modified "2023-10-10" @default.
• W2952741605 title "Inclusion measures of probabilistic linguistic term sets and their application in classifying cities in the Economic Zone of Chengdu Plain" @default.
• W2952741605 cites W1183909309 @default.
• W2952741605 cites W1453882192 @default.
• W2952741605 cites W1978062397 @default.
• W2952741605 cites W1978380673 @default.
• W2952741605 cites W1989907351 @default.
• W2952741605 cites W1996697778 @default.
• W2952741605 cites W1998459953 @default.
• W2952741605 cites W2000109090 @default.
• W2952741605 cites W2002574279 @default.
• W2952741605 cites W2007528101 @default.
• W2952741605 cites W2007861510 @default.
• W2952741605 cites W2012399117 @default.
• W2952741605 cites W2016236227 @default.
• W2952741605 cites W2017846705 @default.
• W2952741605 cites W2019508321 @default.
• W2952741605 cites W2026244788 @default.
• W2952741605 cites W2033348131 @default.
• W2952741605 cites W2033765358 @default.
• W2952741605 cites W2037351862 @default.
• W2952741605 cites W2041395622 @default.
• W2952741605 cites W2044313855 @default.
• W2952741605 cites W2045326273 @default.
• W2952741605 cites W2048306705 @default.
• W2952741605 cites W2055143788 @default.
• W2952741605 cites W2055375485 @default.
• W2952741605 cites W2058604213 @default.
• W2952741605 cites W2062064638 @default.
• W2952741605 cites W2062870022 @default.
• W2952741605 cites W2065043952 @default.
• W2952741605 cites W2069656851 @default.
• W2952741605 cites W2071300659 @default.
• W2952741605 cites W2082669644 @default.
• W2952741605 cites W2091287769 @default.
• W2952741605 cites W2108843088 @default.
• W2952741605 cites W2123964448 @default.
• W2952741605 cites W2139927426 @default.
• W2952741605 cites W2164458769 @default.
• W2952741605 cites W2170853747 @default.
• W2952741605 cites W2178862991 @default.
• W2952741605 cites W2474884296 @default.
• W2952741605 cites W2507975617 @default.
• W2952741605 cites W2517223288 @default.
• W2952741605 cites W2563726421 @default.
• W2952741605 cites W2743435031 @default.
• W2952741605 cites W2753617864 @default.
• W2952741605 cites W2767317738 @default.
• W2952741605 cites W2770978345 @default.
• W2952741605 cites W2806437363 @default.
• W2952741605 cites W2894864820 @default.
• W2952741605 cites W2913238147 @default.
• W2952741605 cites W2915020723 @default.
• W2952741605 cites W2930974561 @default.
• W2952741605 cites W4211007335 @default.
• W2952741605 cites W4239227372 @default.
• W2952741605 cites W4245152641 @default.
• W2952741605 doi "https://doi.org/10.1016/j.asoc.2019.105572" @default.
• W2952741605 hasPublicationYear "2019" @default.
• W2952741605 type Work @default.
• W2952741605 sameAs 2952741605 @default.
• W2952741605 citedByCount "22" @default.
• W2952741605 countsByYear W29527416052019 @default.
• W2952741605 countsByYear W29527416052020 @default.
• W2952741605 countsByYear W29527416052021 @default.
• W2952741605 countsByYear W29527416052022 @default.
• W2952741605 countsByYear W29527416052023 @default.
• W2952741605 crossrefType "journal-article" @default.
• W2952741605 hasAuthorship W2952741605A5004147709 @default.
• W2952741605 hasAuthorship W2952741605A5038996322 @default.
• W2952741605 hasAuthorship W2952741605A5073568638 @default.
• W2952741605 hasAuthorship W2952741605A5083467166 @default.
• W2952741605 hasConcept C106301342 @default.
• W2952741605 hasConcept C121332964 @default.
• W2952741605 hasConcept C124101348 @default.
• W2952741605 hasConcept C138885662 @default.
• W2952741605 hasConcept C154945302 @default.
• W2952741605 hasConcept C167729594 @default.
• W2952741605 hasConcept C204321447 @default.
• W2952741605 hasConcept C2524010 @default.
• W2952741605 hasConcept C2776517306 @default.
• W2952741605 hasConcept C2780009758 @default.
• W2952741605 hasConcept C33923547 @default.
• W2952741605 hasConcept C41008148 @default.
• W2952741605 hasConcept C41895202 @default.
• W2952741605 hasConcept C49937458 @default.
• W2952741605 hasConcept C61797465 @default.
• W2952741605 hasConcept C62520636 @default.
• W2952741605 hasConcept C73555534 @default.
• W2952741605 hasConceptScore W2952741605C106301342 @default.
• W2952741605 hasConceptScore W2952741605C121332964 @default.

• next