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Aggregation operators of neutrosophic linguistic numbers for multiple attribute group decision making. [PDF]

open access: yesSpringerplus, 2016
Based on the concept of neutrosophic linguistic numbers (NLNs) in symbolic neutrosophic theory presented by Smarandache in 2015, the paper firstly proposes basic operational laws of NLNs and the expected value of a NLN to rank NLNs. Then, we propose the NLN weighted arithmetic average (NLNWAA) and NLN weighted geometric average (NLNWGA) operators and ...
Ye J.
europepmc   +5 more sources

Multiple Attribute Group Decision Making Based on 2-Tuple Linguistic Neutrosophic Dombi Power Heronian Mean Operators [PDF]

open access: goldIEEE Access, 2019
As an expansion of 2-tuple linguistic intuitionistic fuzzy set, the newly developed 2-tuple linguistic neutrosophic set (2-TLNS) is more satisfactory to define decision maker’s assessment information in decision-making problems.
Peide Liu   +4 more
doaj   +2 more sources

Generalized Hamacher Aggregation Operators for Intuitionistic Uncertain Linguistic Sets: Multiple Attribute Group Decision Making Methods [PDF]

open access: goldInformation, 2019
In this paper, we consider multiple attribute group decision making (MAGDM) problems in which the attribute values take the form of intuitionistic uncertain linguistic variables.
Yun Jin   +3 more
doaj   +2 more sources

Bonferroni Mean Operators of Linguistic Neutrosophic Numbers and Their Multiple Attribute Group Decision-Making Methods [PDF]

open access: goldInformation, 2017
Linguistic neutrosophic numbers (LNN) is presented by Fang and Ye in 2017, which can describe the truth, falsity, and indeterminacy linguistic information independently.
Changxing Fan, Jun Ye, Keli Hu, En Fan
doaj   +2 more sources

Dombi power partitioned Heronian mean operators of q-rung orthopair fuzzy numbers for multiple attribute group decision making. [PDF]

open access: yesPLoS ONE, 2019
In this paper, a set of Dombi power partitioned Heronian mean operators of q-rung orthopair fuzzy numbers (qROFNs) are presented, and a multiple attribute group decision making (MAGDM) method based on these operators is proposed.
Yanru Zhong   +5 more
doaj   +2 more sources

Multiple Attribute Group Decision-Making Method Based on Linguistic Neutrosophic Numbers [PDF]

open access: greenSymmetry, 2017
Existing intuitionistic linguistic variables can describe the linguistic information of both the truth/membership and falsity/non-membership degrees, but it cannot represent the indeterminate and inconsistent linguistic information. To deal with the issue, this paper originally proposes the concept of a linguistic neutrosophic number (LNN), which is ...
Zebo Fang, Jun Ye 0001
openaire   +4 more sources

Extended Heronian Mean Based on Hesitant Fuzzy Linguistic Information for Multiple Attribute Group Decision-Making [PDF]

open access: goldComplexity, 2019
This paper investigates the hesitant fuzzy linguistic multiple attribute group decision-making (MAGDM) problem with the heterogeneous relationship among the attribute variables that cannot be solved by most existing decision-making methods.
Minghua Shi, Yuewen Xiao, Qing Wan
doaj   +2 more sources

A Linguistic-Valued Weighted Aggregation Operator to Multiple Attribute Group Decision Making with Quantative and Qualitative Information [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2008
In selecting an optional alternative in an environment of multiple attribute group decision making, different attributes of the alternative are often considered as with quantitative and qualitative information.
Xiaobing Li, Da Ruan, Jun Liu, Yang Xu
doaj   +1 more source

EDAS method for multiple attribute group decision making under q-rung orthopair fuzzy environment

open access: yesTechnological and Economic Development of Economy, 2020
Extended q-rung orthopair fuzzy sets (q-ROFSs) is an excellent tool to depict the qualitative assessing information in multiple attribute group decision making (MAGDM) environments.
Zengxian Li   +5 more
doaj   +1 more source

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