Results 241 to 250 of about 21,643 (296)

Intuitionistic Fuzzy MADM Based on PT

2021
The IFS [1] is an effective tool to comprehensively express the uncertain perceptions of DMs for the objects from the perspective of support and opposition. Hence, the extensions of IFS have been popular, such as PFS, q-ROFS, etc. Moreover, PT is famous for its ability in depicting the bounded rational psychological characteristic of DMs under ...
Xiaoli Tian, Zeshui Xu
openaire   +1 more source

Ranking range models under incomplete attribute weight information in the selected six MADM methods

Expert Syst. J. Knowl. Eng., 2021
Multiple attribute decision making (MADM) is used to rank the alternatives according to evaluation information based on multiple attributes, and many MADM methods have been studied to deal with the MADM problems.
Yating Liu, Huali Tang, Haiming Liang, Hengjie Zhang, Congcong Li, Yucheng Dong   +5 more
semanticscholar   +1 more source

Optimal network selection using MADM algorithms

2015 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS), 2015
In the presence of heterogeneous wireless network the selection of optimal network for transferring data and telephony is an important task. The selection of optimal network is done either at user terminal or at service provider terminal or at both terminals. This selection is done by some advancement in the mobile terminal.
null Manisha, N.P. Singh
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Hesitant Fuzzy MADM Models

2014
Multi-attribute decision making (MADM), which addresses the problem of making an optimal choice that has the highest degree of satisfaction from a set of alternatives that are characterized in terms of their attributes, is a usual task in human activities. In classical MADM, the assessments of alternatives are precisely known (Dyer et al. 1992; Stewart
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Mosaic Analysis with Double Markers (MADM) in Mice

Cold Spring Harbor Protocols, 2014
The human brain comprises more than 100 billion neurons, each of which has an elaborate shape and a complex pattern of connections. To untangle this complexity, it is often useful to visualize one neuron at a time. Mosaic analysis with double markers (MADM) is a genetic method for labeling and manipulating individual neurons.
J Sebastian, Espinosa, Joy S, Tea, Liqun, Luo   +2 more
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Modified GRA methodology for MADM under triangular fuzzy neutrosophic sets and applications to blended teaching effect evaluation of college English courses

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2023
Bin Xie
semanticscholar   +1 more source

Path Evaluation Based on MADM-Dijkstra Method

Advanced Materials Research, 2010
Based on the knowledge of graph theory, this thesis builds mathematical model. With the concept of effective path and designed time, the method of MADM and improved Dijkstra, the paper solves the path evaluation problem about singular attribute, length and time of path, and both of the attributes.
Duo Dian Wang, Guo Qing Qiu, Xian Hua Zhou, Jun Zhi   +3 more
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Modified Atmospheric Density Model (MADM)

2000
Abstract : Due to poor atmospheric density models for computing drag forces on satellites, AF Space Battlelab approved the initiative MADM. The Modified Atmospheric Density Model's objective is to update an atmospheric density model in near real-time using satellite-tracking data.
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Generalized hesitant fuzzy numbers and their application in solving MADM problems based on TOPSIS method

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2022
A. Keikha
semanticscholar   +1 more source

Some novel interval-valued Pythagorean fuzzy aggregation operator based on Hamacher triangular norms and their application in MADM issues

Computational and Applied Mathematics, 2021
Tapan Senapati, Guiyun Chen
semanticscholar   +1 more source