A MAGDM Algorithm with Multi-Granular Probabilistic Linguistic Information [PDF]
Symmetry, 2019 The traditional multi-attribute group decision making (MAGDM) method needs to be improved to the integration of assessment information under multi-granular probabilistic linguistic environments. Some novel distance measures between two multi-granular probabilistic linguistic term sets (PLTSs) are proposed, and distance measures are proved to be ...
openaire +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
A decision support model for multi-attribute group decision making using a multi-objective optimization approach [PDF]
International Journal of Computational Intelligence Systems, 2013 The multi-attribute group decision making (MAGDM) problem has received considerable attention in the decision analysis field and fruitful achievements have been reported in the literature.
Jian Xiong +3 more
doaj +1 more source
Some q-rung orthopair fuzzy Muirhead means with their application to multi-attribute group decision making [PDF]
, 2019 Recently proposed q-rung orthopair fuzzy set (q-ROFS) is a powerful and effective tool to describe fuzziness, uncertainty and vagueness. The prominent feature of q-ROFS is that the sum and square sum of membership and non-membership degrees are allowed ...
Li, Weizi +5 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
IEEE Access, 2022 Multi-granularity unbalanced hesitant fuzzy linguistic term set (MGUHFLTS) is an effective expression of linguistic information, which applied in multi-attribute group decision-making (MAGDM), meanwhile Dempster-Shafer evidence theory (DSET) is profound ...
Lili Rong
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A problem solving perspective on evaluating knowledge management technologies: Using fuzzy linear programming technique for multiattribute group decision making with fuzzy decision variables [PDF]
, 2006 Erensal, Yasemin Claire (Dogus Author) -- Conference full title: PICMET Conference: Technology Management for the Global Future : Istanbul, Turkey, 8 - 13 July 2006The aim of this paper is to develop a framework to aid in the evaluation and selection of ...
Albayrak, Yıldız Esra +1 more
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Wasserstein distance-based probabilistic linguistic TODIM method with application to the evaluation of sustainable rural tourism potential [PDF]
, 2022 The evaluation of sustainable rural tourism potential is a key work in sustainable rural tourism development. Due to the complexity of the rural tourism development situation and the limited cognition of people, most of the assessment problems for ...
Liu, Xiaodi +4 more
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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
A novel approach to multi-attribute group decision-making based on interval-valued intuitionistic fuzzy power Muirhead mean [PDF]
, 2019 This paper focuses on multi-attribute group decision-making (MAGDM) course in which attributes are evaluated in terms of interval-valued intuitionistic fuzzy (IVIF) information.
He +10 more
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