Matches in SemOpenAlex for { <https://semopenalex.org/work/W4214529714> ?p ?o ?g. }
- W4214529714 endingPage "11" @default.
- W4214529714 startingPage "1" @default.
- W4214529714 abstract "In this paper, some fundamental theories of the Pythagorean interval 2-tuple linguistic numbers (PI2TLNs) combined with the EDAS (evaluation based on distance from average solution) method are proposed. Firstly, we introduced the original concepts of Pythagorean interval 2-tuple linguistic sets (PI2TLSs), and two aggregation operators of PI2TLN were also introduced. Then, the steps of the EDAS method were described briefly. Moreover, the PI2TLN-EDAS model was provided to address the multiattribute group decision-making (MAGDM) problem, and calculation steps were deduced in detail. The effectiveness of the method was illustrated by taking the ship navigation environment safety assessment as an example. Finally, we conducted comparative analysis between PI2TLN-EDAS method and Pythagorean interval 2-tuple linguistic weighted averaging (PI2TLWA) operator/Pythagorean interval 2-tuple linguistic weighted geometric (PI2TLWG) operator." @default.
- W4214529714 created "2022-03-02" @default.
- W4214529714 creator A5050516019 @default.
- W4214529714 date "2022-02-25" @default.
- W4214529714 modified "2023-09-26" @default.
- W4214529714 title "Method for Pythagorean Interval 2-Tuple Linguistic Multiattribute Group Decision Making and Its Application to the Ship Navigation Environment Safety Assessment" @default.
- W4214529714 cites W1584338554 @default.
- W4214529714 cites W1668569279 @default.
- W4214529714 cites W1980564456 @default.
- W4214529714 cites W1987721207 @default.
- W4214529714 cites W1992188177 @default.
- W4214529714 cites W2013932252 @default.
- W4214529714 cites W2056258586 @default.
- W4214529714 cites W2067442047 @default.
- W4214529714 cites W2117827905 @default.
- W4214529714 cites W2184989861 @default.
- W4214529714 cites W2259660946 @default.
- W4214529714 cites W2311142332 @default.
- W4214529714 cites W2336246663 @default.
- W4214529714 cites W2340277300 @default.
- W4214529714 cites W2507975617 @default.
- W4214529714 cites W2526107180 @default.
- W4214529714 cites W2527615072 @default.
- W4214529714 cites W2587083986 @default.
- W4214529714 cites W2599238723 @default.
- W4214529714 cites W2601832311 @default.
- W4214529714 cites W2604381736 @default.
- W4214529714 cites W2612520098 @default.
- W4214529714 cites W2733233062 @default.
- W4214529714 cites W2743253774 @default.
- W4214529714 cites W2746305757 @default.
- W4214529714 cites W2748250791 @default.
- W4214529714 cites W2755209665 @default.
- W4214529714 cites W2758653053 @default.
- W4214529714 cites W2784166218 @default.
- W4214529714 cites W2793752579 @default.
- W4214529714 cites W2796104695 @default.
- W4214529714 cites W2798340136 @default.
- W4214529714 cites W2884100325 @default.
- W4214529714 cites W2884339625 @default.
- W4214529714 cites W2885459375 @default.
- W4214529714 cites W2898818769 @default.
- W4214529714 cites W2902274251 @default.
- W4214529714 cites W2910215169 @default.
- W4214529714 cites W2910272534 @default.
- W4214529714 cites W2922315244 @default.
- W4214529714 cites W2947289343 @default.
- W4214529714 cites W2951063129 @default.
- W4214529714 cites W2963110261 @default.
- W4214529714 cites W2997493847 @default.
- W4214529714 cites W3034341913 @default.
- W4214529714 cites W3088891005 @default.
- W4214529714 cites W3092684753 @default.
- W4214529714 cites W3093536828 @default.
- W4214529714 cites W3111956584 @default.
- W4214529714 cites W3128951492 @default.
- W4214529714 cites W3138543873 @default.
- W4214529714 cites W3161014367 @default.
- W4214529714 cites W3164967959 @default.
- W4214529714 cites W3175424302 @default.
- W4214529714 cites W3179393967 @default.
- W4214529714 cites W3179964450 @default.
- W4214529714 cites W3183341137 @default.
- W4214529714 cites W3196079216 @default.
- W4214529714 cites W3197755710 @default.
- W4214529714 cites W3198084770 @default.
- W4214529714 cites W3200281558 @default.
- W4214529714 cites W3201372158 @default.
- W4214529714 cites W3212031517 @default.
- W4214529714 cites W3214983111 @default.
- W4214529714 cites W3215639985 @default.
- W4214529714 cites W347478911 @default.
- W4214529714 cites W4200396497 @default.
- W4214529714 cites W4205102127 @default.
- W4214529714 cites W4205799758 @default.
- W4214529714 cites W4211007335 @default.
- W4214529714 doi "https://doi.org/10.1155/2022/6881900" @default.
- W4214529714 hasPublicationYear "2022" @default.
- W4214529714 type Work @default.
- W4214529714 citedByCount "2" @default.
- W4214529714 countsByYear W42145297142023 @default.
- W4214529714 crossrefType "journal-article" @default.
- W4214529714 hasAuthorship W4214529714A5050516019 @default.
- W4214529714 hasBestOaLocation W42145297141 @default.
- W4214529714 hasConcept C100461760 @default.
- W4214529714 hasConcept C104317684 @default.
- W4214529714 hasConcept C11413529 @default.
- W4214529714 hasConcept C114614502 @default.
- W4214529714 hasConcept C118615104 @default.
- W4214529714 hasConcept C118930307 @default.
- W4214529714 hasConcept C138885662 @default.
- W4214529714 hasConcept C154945302 @default.
- W4214529714 hasConcept C158448853 @default.
- W4214529714 hasConcept C162500139 @default.
- W4214529714 hasConcept C17020691 @default.
- W4214529714 hasConcept C17744445 @default.
- W4214529714 hasConcept C178790620 @default.
- W4214529714 hasConcept C185592680 @default.