Multi-Attribute Decision Making Using Simple Additive Weighting and Weighted Product in Food Choice

Adriyendi,

doi:10.5815/ijieeb.2015.06.02

Cited by 32 publications

(10 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Multi-Attribute Decision-Making (MADM) is used for situational, analytical, and synthetical components, with aggregation and alternative ranking for information processing. The MADM Model is done by evaluating the alternative Ai (i = 1,2, ..., m) for a set of attributes or Cj criteria (j = 1,2, ..., n), the weighting factor Wj on the decision matrix of each alternative for each attribute X with formula based on paper [15].…”

Section: Madmmentioning

confidence: 99%

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

Adriyendi¹,

Melia²

2021

Int. J. Adv. Data Inf. Syst.

View full text Add to dashboard Cite

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.

show abstract

Section: Madmmentioning

confidence: 99%

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

Adriyendi¹,

Melia²

2021

Int. J. Adv. Data Inf. Syst.

View full text Add to dashboard Cite

show abstract

“…Berdasarkan penjelasan ketiga penelitian diatas dapat disimpulkan bahwa metode SAW penentuan nilai bobot subkriteria menggunakan penerapan Fuzzy Logic dalam mentransformasikan entitas nya serta angka persen dalam mentransformasikan bobot kriteria [11]. Berikut langkah penyelesaian SAW [12]:…”

Section: Pendahuluanunclassified

Weighting Comparative Analysis Using Fuzzy Logic and Rank Order Centroid (ROC) in the Simple Additive Weighting (SAW) Method

Ghazali

Sihombing

Zarlis

2021

Com, Engine, Sys, Sci

View full text Add to dashboard Cite

Decision Support System Method which is often referred to as the weighted addition method, one of which is Simple Additive Weighting. But the value of the weights in this system is not officially the calculation used. Therefore, usually a number of researchers combine this method with other methods to be more precise and accurate in supporting their decisions. In this study, the authors compare the results of the SAW method between the weighting based on the Fuzzy Logic method and the weighting based on the Rank Order Centroid (ROC) method. The case studied was the number of student satisfaction with learning outcomes during the Covid-19 pandemic. The results obtained are the number of students who are declared satisfied with learning during the Covid-19 pandemic as many as 6 students for the weighting of the Fuzzy Logic method and 5 students for the weighting of the Rank Order Centroid (ROC) method.

show abstract

“…7) Additional required information: some MCDM methods need additional information to get the better result. [ [168][169][170][171][172][173] IV. CONCLUSIONS Decision Making is an essential technique and it is found that the application of these techniques are increasing.…”

Section: ) Incomparable Optionsmentioning

confidence: 99%

Multi Criteria Decision Making (MCDM) Methods and its applications

Bhole¹

2018

IJRASET

View full text Add to dashboard Cite

Multi Criteria Decision Making (MCDM) is the quantitative and qualitative method, problem has many solution but to find the solution and to get the appropriate decision regarding the solution is the application of MCDM. This paper gives the information about all the MCDM methods with the applications of maximum MCDM methods to various fields as per the literature. The aim is revel MCDM methods and their applications to understand the nature of MCDM for various problems. The utilization of MCDM to other field gives an idea for the new research area. The review helps to find the problems studied by different researcher and the solution they interpreted by using MCDM methods like ELECTRA, PROMETHEE, TOPSIS, AHP,GP etc. AHP, TOPSIS, MAUT were the most used methods but hybrid or integrated methods gives the solution for problem like location, finance, bankrupt, construction bridges, waste water and many more. This combination creates the new era in MCDM history.

show abstract

Multi-Attribute Decision Making Using Simple Additive Weighting and Weighted Product in Food Choice

Cited by 32 publications

References 7 publications

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

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

Weighting Comparative Analysis Using Fuzzy Logic and Rank Order Centroid (ROC) in the Simple Additive Weighting (SAW) Method

Multi Criteria Decision Making (MCDM) Methods and its applications

Contact Info

Product

Resources

About