scholarly journals Multi-Attribute Decision Making using Hybrid Approach based on Benefit-Cost Model for Sustainable Fashion

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Adriyendi Adriyendi ◽  
Yeni Melia
Keyword(s):  
Decision Making ◽  
Cost Model ◽  
Hybrid Approach ◽  
Evaluation Process ◽  
Hybrid Approaches ◽  
Material Texture ◽  
Sustainable Fashion ◽  
Multi Attribute Decision Making ◽  
Benefit Cost ◽  
Selection Of

Multi-Attribute Decision Making (MADM) is used to select the best alternative from multi-alternatives based on multi-attribute (fashion material) and multi-criteria (sustainable fashion). Multi-alternatives are cotton, linen, silk, wool, acrylic, nylon, polyester, rayon, spandex, and mixed. Multi-attributes are material, texture, color, characteristic, comfort, and wearability. Multi-criteria are material fiber, smooth texture, faded color, elastic clothing, useful long, chilly and comfortable. Hybrid approaches and optimal solutions are needed to determine the best choice in decision making for both producers and consumers. The hybrid approach in MADM used is Simple Multi-Attribute Rating (SMART), Multi-Factor Evaluation Process (MFEP), Multi-Object Optimization based on Ratio Analysis (MOORA), Simple Additive Weighting (SAW), and Weighted Product (WP). SMART and MFEP are based on the Non-Benefit Cost Model while MOORA, SAW, and WP are based on a Benefit-Cost Model. The experimental results show that the SMART model with the best alternative is the rayon with the highest value (2.8333). The selection of the MFEP Model with the best alternative is rayon with the highest value (2.8330). The choice of MOORA model with the best alternative is rayon with the highest value (0.2595). The selection of the SAW Model with the best alternative is rayon with the highest value (0.8932). The selection of the WP Model with the best alternative is rayon with the highest value (0.1285). MADM using SMART, MFEP, MOORA, SAW, and WP for sustainable fashion yields the best alternative for consumption and production for the middle-class population in Indonesia.

scholarly journals Approach to Multi-Attribute Decision-Making Methods for Performance Evaluation Process Using Interval-Valued T-Spherical Fuzzy Hamacher Aggregation Information

Axioms ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 145
Author(s):  
Yun Jin ◽  
Zareena Kousar ◽  
Kifayat Ullah ◽  
Tahir Mahmood ◽  
Nimet Yapici Pehlivan ◽  
...  
Keyword(s):  
Decision Making ◽  
Fuzzy Set ◽  
Evaluation Process ◽  
Aggregation Operators ◽  
Weighted Averaging ◽  
Membership Degree ◽  
Operational Laws ◽  
Multi Attribute Decision Making ◽  
Interval Valued ◽  
Do So

Interval-valued T-spherical fuzzy set (IVTSFS) handles uncertain and vague information by discussing their membership degree (MD), abstinence degree (AD), non-membership degree (NMD), and refusal degree (RD). MD, AD, NMD, and RD are defined in terms of closed subintervals of that reduce information loss compared to the T-spherical fuzzy set (TSFS), which takes crisp values from intervals; hence, some information may be lost. The purpose of this manuscript is to develop some Hamacher aggregation operators (HAOs) in the environment of IVTSFSs. To do so, some Hamacher operational laws based on Hamacher t-norms (HTNs) and Hamacher t-conorms (HTCNs) are introduced. Using Hamacher operational laws, we develop some aggregation operators (AOs), including an interval-valued T-spherical fuzzy Hamacher (IVTSFH) weighted averaging (IVTSFHWA) operator, an IVTSFH-ordered weighted averaging (IVTSFHOWA) operator, an IVTSFH hybrid averaging (IVTSFHHA) operator, an IVTSFH-weighted geometric (IVTSFHWG) operator, an IVTSFH-ordered weighted geometric (IVTSFHOWG) operator, and an IVTSFH hybrid geometric (IVTSFHHG) operator. The validation of the newly developed HAOs is investigated, and their basic properties are examined. In view of some restrictions, the generalization and proposed HAOs are shown, and a multi-attribute decision-making (MADM) procedure is explored based on the HAOs, which are further exemplified. Finally, a comparative analysis of the proposed work is also discussed with previous literature to show the superiority of our work.

Thermo-chemical water splitting: Selection of priority reversible redox reactions by multi-attribute decision making

2021 ◽  
Vol 170 ◽  
pp. 800-810
Author(s):  
Yimin Deng ◽  
Raf Dewil ◽  
Lise Appels ◽  
Shuo Li ◽  
Jan Baeyens ◽  
...  
Keyword(s):  
Decision Making ◽  
Water Splitting ◽  
Redox Reactions ◽  
Reversible Redox ◽  
Multi Attribute Decision Making ◽  
Chemical Water ◽  
Selection Of

Location selection of seawater pumped hydro storage station in China based on multi-attribute decision making

2019 ◽  
Vol 139 ◽  
pp. 410-425 ◽  
Author(s):  
Yunna Wu ◽  
Ting Zhang ◽  
Chuanbo Xu ◽  
Xiaoyu Zhang ◽  
Yiming Ke ◽  
...  
Keyword(s):  
Decision Making ◽  
Location Selection ◽  
Storage Station ◽  
Multi Attribute Decision Making ◽  
Selection Of

scholarly journals Part-time student selection problem with a novel hybrid approach based on DEMATEL-modified ANP and MULTIMOORA methods

2021 ◽  
Author(s):  
Derya Deliktaş ◽  
◽  
Büşra Günhan ◽  
Keyword(s):  
Decision Making ◽  
Hybrid Approach ◽  
Subjective Assessment ◽  
Suitable Alternative ◽  
Materials Engineering ◽  
Engineering Department ◽  
Part Time ◽  
The University ◽  
Selection Of

This study proposes a hybrid approach for the selection of students employed part-time at the various departments of a university. There are both qualitative and quantitative criteria for the selection of students. Thus, to handle the subjective assessment in the decision-making process, this study considers developing DEMATEL-modified ANP and MULTIMOORA. An empirical case study applied at Metallurgical and Materials Engineering Department in Turkey is exhibited to test the effectiveness of the proposed decision-making method, which provides a fair selection considering three main and seven sub-criteria. These criteria are determined in accordance with the previous experience of the commission members and the principles which are listed in the Administration Guideline of the university. One among five candidates is selected by a novel hybrid approach. The obtained results and all scenarios in sensitivity analysis based on the changing of the decision makers’ weights and the changing of the dimension weights indicate that the S3 student remains the most preferred alternative, and the S4 student mostly is the most suitable alternative, respectively.

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