A Hybrid MADM Approach Based on Simple Additive Weighting and TOPSIS: An Application on Comparison of Innovation Performances of the EU Countries

Furkan Göktaş

Makale detayları

A Hybrid MADM Approach Based on Simple Additive Weighting and TOPSIS: An Application on Comparison of Innovation Performances of the EU Countries

Yazarlar:

Furkan Göktaş

Yayıncı:

Gazi University

Ana Başlıklar:

Quantitative Decision Methods

Dergi:

Gazi University Journal of Science Part A: Engineering and Innovation Vol.11 Issue 3, pp.419-430

Belge Tipi:

Makale

Yayın Tarihi:

9/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001324028

pISSN:

2147-9542

Anahtar kelimeler:

Özet:

 This study aims to objectively compare the long-term innovation performances of the EU countries. In this context, we propose a hybrid multi-attribute decision-making MADM approach combining Simple Additive Weighting SAW and TOPSIS. The proposed approach CST uses the alternatives quadratic utility functions considering the weighted sum value and distance to the positive ideal solution. It also uniquely determines the criteria weight vector using a strictly concave maximization problem. Using the Summary Innovation Index SII data for the 2016-2023 period, CST reveals that Sweden, Denmark, and the Netherlands are in the first three ranks. In contrast, Romania, Bulgaria, and Latvia are in the last three ranks.

 This study aims to objectively compare the long-term innovation performances of the EU countries. In this context, we propose a hybrid multi-attribute decision-making MADM approach combining Simple Additive Weighting SAW and TOPSIS. The proposed approach CST uses the alternatives quadratic utility functions considering the weighted sum value and distance to the positive ideal solution. It also uniquely determines the criteria weight vector using a strictly concave maximization problem. Using the Summary Innovation Index SII data for the 2016-2023 period, CST reveals that Sweden, Denmark, and the Netherlands are in the first three ranks. In contrast, Romania, Bulgaria, and Latvia are in the last three ranks.

 This study aims to objectively compare the long-term innovation performances of the EU countries. In this context, we propose a hybrid multi-attribute decision-making MADM approach combining Simple Additive Weighting SAW and TOPSIS. The proposed approach CST uses the alternatives quadratic utility functions considering the weighted sum value and distance to the positive ideal solution. It also uniquely determines the criteria weight vector using a strictly concave maximization problem. Using the Summary Innovation Index SII data for the 2016-2023 period, CST reveals that Sweden, Denmark, and the Netherlands are in the first three ranks. In contrast, Romania, Bulgaria, and Latvia are in the last three ranks.

 This study aims to objectively compare the long-term innovation performances of the EU countries. In this context, we propose a hybrid multi-attribute decision-making MADM approach combining Simple Additive Weighting SAW and TOPSIS. The proposed approach CST uses the alternatives quadratic utility functions considering the weighted sum value and distance to the positive ideal solution. It also uniquely determines the criteria weight vector using a strictly concave maximization problem. Using the Summary Innovation Index SII data for the 2016-2023 period, CST reveals that Sweden, Denmark, and the Netherlands are in the first three ranks. In contrast, Romania, Bulgaria, and Latvia are in the last three ranks.

Makale detayları

A Hybrid MADM Approach Based on Simple Additive Weighting and TOPSIS: An Application on Comparison of Innovation Performances of the EU Countries

Yazarlar:

Furkan Göktaş

Yayıncı:

Gazi University

Ana Başlıklar:

Quantitative Decision Methods

Dergi:

Gazi University Journal of Science Part A: Engineering and Innovation Vol.11 Issue 3, pp.419-430

Belge Tipi:

Makale

Yayın Tarihi:

9/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001324028

pISSN:

2147-9542

Convex Optimization

Innovation

Multi-Attribute Decision-Making

Simple Additive Weighting

TOPSIS

Sayı

Makale detayları

A Hybrid MADM Approach Based on Simple Additive Weighting and TOPSIS: An Application on Comparison of Innovation Performances of the EU Countries

Yazarlar: Furkan Göktaş

Yayıncı: Gazi University

Ana Başlıklar: Quantitative Decision Methods

Dergi: Gazi University Journal of Science Part A: Engineering and Innovation Vol.11 Issue 3, pp.419-430

Belge Tipi: Makale

Yayın Tarihi: 9/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001324028

pISSN: 2147-9542

Convex Optimization

Innovation

Multi-Attribute Decision-Making

Simple Additive Weighting

TOPSIS

Sayı

Yazarlar:

Furkan Göktaş

Yayıncı:

Gazi University

Ana Başlıklar:

Quantitative Decision Methods

Dergi:

Gazi University Journal of Science Part A: Engineering and Innovation Vol.11 Issue 3, pp.419-430

Belge Tipi:

Makale

Yayın Tarihi:

9/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001324028

pISSN:

2147-9542