A Novel Combined Fuzzy MCDM Approach Based on IMF-SWARA and F-CODAS for Consulting Firm Selection

Nilsen Kundakcı; Kevser Arman

Makale detayları

A Novel Combined Fuzzy MCDM Approach Based on IMF-SWARA and F-CODAS for Consulting Firm Selection

Yazarlar:

Nilsen Kundakcı | Kevser Arman

Yayıncı:

Ege University

Ana Başlıklar:

İşletme

Dergi:

Ege Akademik Bakış Dergisi Vol.23 Issue 4, pp.639-652

Belge Tipi:

Makale

Yayın Tarihi:

10/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001301321

pISSN:

1303-099X

Anahtar kelimeler:

Özet:

 In todays challenging industry conditions, where being good is not enough to be successful, companies trying to be the best, need consultancy in different fields. Consulting firms provides consultancy services to businesses, and they need to determine the most appropriate one for them. Fuzzy MCDM Multi Criteria Decision Making methods are appropriate to solve consulting firm selection problem. In this study, consulting firm selection problem of a textile company operating in Istanbul, Turkey is handled by using a novel combined fuzzy MCDM method based on IMF-SWARA Improved Fuzzy Stepwise Weight Assessment Ratio Analysis and F-CODAS Fuzzy COmbinative Distance-based Assessment methods. The importance weights of the criteria are calculated with IMF-SWARA method. Findings indicate that the top three important criteria are respectively, experience, references, and reliability. Then, F-CODAS method is used to rank the consulting firms and the best one is presented to the Human Resources department of the textile company. This study contributes to the existing literature in various aspects. It suggests a novel combined fuzzy MCDM method to solve consulting firm selection and a new Fuzzy CODAS based on TFNs is proposed. Moreover, HR managers can use the findings of this study to evaluate consulting firms.

 In todays challenging industry conditions, where being good is not enough to be successful, companies trying to be the best, need consultancy in different fields. Consulting firms provides consultancy services to businesses, and they need to determine the most appropriate one for them. Fuzzy MCDM Multi Criteria Decision Making methods are appropriate to solve consulting firm selection problem. In this study, consulting firm selection problem of a textile company operating in Istanbul, Turkey is handled by using a novel combined fuzzy MCDM method based on IMF-SWARA Improved Fuzzy Stepwise Weight Assessment Ratio Analysis and F-CODAS Fuzzy COmbinative Distance-based Assessment methods. The importance weights of the criteria are calculated with IMF-SWARA method. Findings indicate that the top three important criteria are respectively, experience, references, and reliability. Then, F-CODAS method is used to rank the consulting firms and the best one is presented to the Human Resources department of the textile company. This study contributes to the existing literature in various aspects. It suggests a novel combined fuzzy MCDM method to solve consulting firm selection and a new Fuzzy CODAS based on TFNs is proposed. Moreover, HR managers can use the findings of this study to evaluate consulting firms.

 In todays challenging industry conditions, where being good is not enough to be successful, companies trying to be the best, need consultancy in different fields. Consulting firms provides consultancy services to businesses, and they need to determine the most appropriate one for them. Fuzzy MCDM Multi Criteria Decision Making methods are appropriate to solve consulting firm selection problem. In this study, consulting firm selection problem of a textile company operating in Istanbul, Turkey is handled by using a novel combined fuzzy MCDM method based on IMF-SWARA Improved Fuzzy Stepwise Weight Assessment Ratio Analysis and F-CODAS Fuzzy COmbinative Distance-based Assessment methods. The importance weights of the criteria are calculated with IMF-SWARA method. Findings indicate that the top three important criteria are respectively, experience, references, and reliability. Then, F-CODAS method is used to rank the consulting firms and the best one is presented to the Human Resources department of the textile company. This study contributes to the existing literature in various aspects. It suggests a novel combined fuzzy MCDM method to solve consulting firm selection and a new Fuzzy CODAS based on TFNs is proposed. Moreover, HR managers can use the findings of this study to evaluate consulting firms.

 In todays challenging industry conditions, where being good is not enough to be successful, companies trying to be the best, need consultancy in different fields. Consulting firms provides consultancy services to businesses, and they need to determine the most appropriate one for them. Fuzzy MCDM Multi Criteria Decision Making methods are appropriate to solve consulting firm selection problem. In this study, consulting firm selection problem of a textile company operating in Istanbul, Turkey is handled by using a novel combined fuzzy MCDM method based on IMF-SWARA Improved Fuzzy Stepwise Weight Assessment Ratio Analysis and F-CODAS Fuzzy COmbinative Distance-based Assessment methods. The importance weights of the criteria are calculated with IMF-SWARA method. Findings indicate that the top three important criteria are respectively, experience, references, and reliability. Then, F-CODAS method is used to rank the consulting firms and the best one is presented to the Human Resources department of the textile company. This study contributes to the existing literature in various aspects. It suggests a novel combined fuzzy MCDM method to solve consulting firm selection and a new Fuzzy CODAS based on TFNs is proposed. Moreover, HR managers can use the findings of this study to evaluate consulting firms.

Makale detayları

A Novel Combined Fuzzy MCDM Approach Based on IMF-SWARA and F-CODAS for Consulting Firm Selection

Yazarlar:

Nilsen Kundakcı | Kevser Arman

Yayıncı:

Ege University

Ana Başlıklar:

İşletme

Dergi:

Ege Akademik Bakış Dergisi Vol.23 Issue 4, pp.639-652

Belge Tipi:

Makale

Yayın Tarihi:

10/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001301321

pISSN:

1303-099X

Fuzzy Multi Criteria Decision Making

IMF-SWARA

F-CODAS

Consulting Firm SelectionFuzzy Multi Criteria Decision Making

IMF-SWARA

F-CODAS

Consulting Firm Selection

Sayı

Makale detayları

Yazarlar: Nilsen Kundakcı | Kevser Arman

Yayıncı: Ege University

Ana Başlıklar: İşletme

Dergi: Ege Akademik Bakış Dergisi Vol.23 Issue 4, pp.639-652

Belge Tipi: Makale

Yayın Tarihi: 10/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001301321

pISSN: 1303-099X

Sayı

Yazarlar:

Nilsen Kundakcı | Kevser Arman

Yayıncı:

Ege University

Ana Başlıklar:

İşletme

Dergi:

Ege Akademik Bakış Dergisi Vol.23 Issue 4, pp.639-652

Belge Tipi:

Makale

Yayın Tarihi:

10/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001301321

pISSN:

1303-099X