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Expert Systems, Volume 40, Issue 8, September 2023., 2023 Abstract Interesting insights into uncertain multi‐attribute decision‐making systems have come from the theory of hesitant fuzzy sets. Outputs become more reliable when a decision‐maker is not forced to produce one single assessment in the presence of hesitation.
Muhammad Akram +2 more
wiley +1 more source
Mathematics, 2020 A single-valued neutrosophic linguistic set (SVNLS) is a popular fuzzy tool for describing deviation information in uncertain complex situations. The aim of this paper is to study some logarithmic distance measures and study their usefulness in multiple ...
Jiefeng Wang +2 more
doaj +1 more source
Alexandria Engineering Journal, 2023 Multi-attribute group decision-making (MAGDM) is an interesting technique to find the most optimal alternative among comparative alternatives. Several authors put forward to MAGDM by introducing different fuzzy frameworks and also different tools to deal
Amir Hussain +4 more
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A Novel MAGDM Approach With Proportional Hesitant Fuzzy Sets [PDF]
International Journal of Computational Intelligence Systems, 2018 In this paper, we propose an extension of hesitant fuzzy sets, i.e., proportional hesitant fuzzy sets (PHFSs), with the purpose of accommodating proportional hesitant fuzzy environments. The components of PHFSs, which are referred to as proportional hesitant fuzzy elements (PHFEs), contain two aspects of information provided by a decision-making team ...
Sheng-Hua Xiong +2 more
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Journal of Mathematics, Volume 2023, Issue 1, 2023., 2023 Probability estimation of small sample data is a key tool to ensure the probability that sample data fall within the confidence interval at a certain confidence level and probability distribution, which shows its advantages in practical engineering applications. Then, regarding a group decision‐making (GDM) problem in the situation of indeterminacy and
Jun Ye +4 more
wiley +1 more source
MAGDM Technique Based on Linguistic Neutrosophic Tangent Dombi Aggregation Operators and Its Application in Selecting New Energy Design Schemes [PDF]
Neutrosophic Sets and SystemsIn linguistic decision theory, multi-attribute group decision-making (MAGDM) of linguistic neutrosophic numbers (LNNs) is one of the crucial research topics. Existing LNN aggregation algorithms do not consider trigonometric periodicity.
Lu Niu , Jun Ye
doaj +1 more source
An interval-valued intuitionistic fuzzy multiattribute group decision making framework with incomplete preference over alternatives [PDF]
, 2012 This article proposes a framework to handle multiattribute group decision making problems with incomplete pairwise comparison preference over decision alternatives where qualitative and quantitative attribute values are furnished as linguistic variables ...
Li, Kevin W., Dr., Wang, Zhou-Jing
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PDHL-EDAS method for multiple attribute group decision making and its application to 3D printer selection [PDF]
, 2021 With the rapid development of 3D printing technology, 3D printers are manufactured based on the principle of 3D printing technology are more and more widely used in the manufacturing industry.
Guo, Yanfeng +3 more
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Cauchy Single-Valued Neutrosophic Numbers and Their Applications in MAGDM
Neutrosophic Sets and Systems, 2022 The neutrosophic sets and numbers have an important role in modeling the problems. Recently, studies on neutrosophic numbers and single-valued neutrosophic numbers which is a subclass of neutrosophic numbers have increased, rapidly. Cauchy distribution is an important concept in the statistic.
Faruk Karaaslan, Fatih Karamaz
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Multiple Attribute Trigonometric Decision‐Making and Its Application to the Selection of Engineers
Journal of Mathematics, Volume 2023, Issue 1, 2023., 2023 A novel method is presented for solving MADM under a sine trigonometric Pythagorean neutrosophic normal interval‐valued set (ST‐PyNSNIVS). An identifying feature of ST‐PyNSNIVS is that it is a combination of PyNSIVS, PyNSS, and IVNSS. This article proposes a novel concept of ST‐PyNSNIVWA, ST‐PyNSNIVWG, ST‐GPyNSNIVWA, and ST‐GPyNSNIVWG.
M. Palanikumar +5 more
wiley +1 more source