Precursor Selection for Sol-Gel Synthesis of Titanium Carbide Nanopowders by a New Intuitionistic Fuzzy Multi-Attribute Group Decision-Making Model

2013 ◽  
Vol 11 (4) ◽  
pp. 681-698 ◽  
Author(s):  
Fatemeh Hosseinzadeh ◽  
Hossein Sarpoolaki ◽  
Hassan Hashemi
Keyword(s):  
Decision Making ◽  
Titanium Carbide ◽  
Group Decision Making ◽  
Group Decision ◽  
Sol Gel ◽  
Intuitionistic Fuzzy ◽  
Selection For ◽  
Decision Making Model ◽  
Sol Gel Synthesis

Precursor Selection for Sol–Gel Synthesis of Titanium Carbide Nanopowders by a New Cubic Fuzzy Multi-Attribute Group Decision-Making Model

2017 ◽  
Vol 28 (5) ◽  
pp. 699-720 ◽  
Author(s):  
Aliya Fahmi ◽  
Saleem Abdullah ◽  
Fazli Amin ◽  
Asad Ali
Keyword(s):  
Decision Making ◽  
Titanium Carbide ◽  
Group Decision ◽  
Sol Gel ◽  
Topsis Method ◽  
Numerical Application ◽  
Gray Relation Analysis ◽  
Relation Analysis ◽  
Decision Making Model ◽  
Sol Gel Synthesis

Abstract In this paper, we construct an extended version of the TOPSIS method by using cubic information, and provide a numerical application to verify and demonstrate the practicality of the method. A new extension of the gray relation analysis (GRA) method is introduced by using cubic information. We also propose the cubic fuzzy multi-attribute group decision-making model, and the relation between the cubic TOPSIS method and the cubic gray relation analysis (CGRA) method is introduced. Finally, the proposed method is used for selection in sol–gel synthesis of titanium carbide nanopowders. We analyzed the proposed method by using a numerical application to sol–gel synthesis of titanium carbide nanopowders.

Precursor Selection for Sol–Gel Synthesis of Titanium Carbide Nanopowders by a New Hesitant CUBIC Fuzzy Multi-Attribute Group Decision-Making Model

2018 ◽  
Vol 15 (01) ◽  
pp. 145-167 ◽  
Author(s):  
Aliya Fahmi ◽  
Fazli Amin
Keyword(s):  
Titanium Carbide ◽  
Group Decision ◽  
Sol Gel ◽  
Analysis Method ◽  
Topsis Method ◽  
Numerical Application ◽  
Gray Relation Analysis ◽  
Selection For ◽  
Decision Making Model ◽  
Sol Gel Synthesis

In this paper, we define hesitant cubic TOPSIs method. We develop the numerical application and different method. We define the new idea of Hesitant Cubic Gray Analysis Set. We proposed the HCF-MAGDM model and relationships among hesitant cubic TOPSIS method with hesitant cubic gray relation analysis method being introduced. Finally, using the proposed method to Sol–Gel synthesis of titanium carbide (TiC) nanopowders for selection, we analyzed the proposed method by using a numerical application to Sol–Gel synthesis of TiC nanopowders.

scholarly journals Supplier Selection in Sustainable Supply Chains: A Risk-Based Integrated Group Decision-Making Model

2021 ◽  
Author(s):  
Chong Wu ◽  
Haohui Zou ◽  
David Barnes
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Supply Chains ◽  
Group Decision Making ◽  
Supplier Selection ◽  
Group Decision ◽  
Supply Risk ◽  
Sustainable Supply Chains ◽  
Intuitionistic Fuzzy ◽  
Decision Making Model

Abstract With the recent emphasis on supply risk management in sustainable supply chains (SSCs), the evaluation and selection of appropriate suppliers are more important than ever. However, most existing research does not take all three sustainability perspectives of supply risk into account simultaneously and they rarely consider the correlation among supply risk factors in risk assessment. Therefore, considering the uncertain information decision-making environment, this research paper proposes a risk-based integrated group decision-making model for sustainable supplier selection (SSS). First, the weights of decision-makers (DMs) are taken as linguistic terms denoted by intuitionistic fuzzy numbers (IFNs). Second, after obtaining the aggregated intuitionistic fuzzy decision-making matrix considering the expert weights, this study uses the entropy weight method to calculate the criteria weights objectively. Then, the improved failure mode and effects analysis (FMEA) is adopted for the risk assessment to exclude high-risk suppliers. Finally, the extended alternative queuing method (AQM) is applied to rank the qualified suppliers in SSCs. This model can not only enable enterprises to reduce supply risk in SSS practices and identify and prevent the failure modes that lead to supply risk, but also reduce the uncertainty of decision-making, in order to make supplier selection more accurate. The feasibility and effectiveness of the proposed model are illustrated through application in a leading Chinese electrical appliance manufacturing company.

scholarly journals A GROUP DECISION-MAKING MODEL FOR WASTEWATER TREATMENT PLANS SELECTION BASED ON INTUITIONISTIC FUZZY SETS

2018 ◽  
Vol 26 (4) ◽  
pp. 251-260 ◽  
Author(s):  
Zhexuan Zhou ◽  
Yajie Dou ◽  
Xiaoxiong Zhang ◽  
Danling Zhao ◽  
Yuejin Tan
Keyword(s):  
Decision Making ◽  
Wastewater Treatment ◽  
Prospect Theory ◽  
Group Decision Making ◽  
Fuzzy Set ◽  
Group Decision ◽  
Intuitionistic Fuzzy Set ◽  
Intuitionistic Fuzzy ◽  
Treatment Plans ◽  
Decision Making Model

As the need for environmental protection and resource sustainability has increased in recent times, wastewater treatment has become increasingly important. In this paper, a group decision-making model for plans selection in wastewater treatment is proposed. In order to deal with uncertainties and multiple attributes in wastewater treatment, an intuitionistic fuzzy set is employed to evaluate wastewater treatment plans effectively. A distance measure is defined to obtain an objective weight measuring the expert’s judgment. More specifically, experts first use group decision-making on the various plans with an intuitionistic fuzzy set. Meanwhile, Due to the decision-makers psychological behavior, the prospect theory is applied. Next, the various plans are ranked by The Order of Preference by Similarity to Ideal Solution (TOPSIS) method and prospect theory. Finally, an illustrative example of wastewater treatment plans selection is used to verify the proposed model.

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