Multiattribute decision making method based on generalized OWA operators with intuitionistic fuzzy sets

Li, Dengfeng

doi:10.1016/j.eswa.2010.06.062

Cited by 156 publications

(57 citation statements)

References 31 publications

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“…For convenience, the IVIFS can also be expressed as . In order to make comparisons between two IVIFSs, metric methods have been introduced by several researchers [22] [23]. However, this study will focus on the improved score function originally proposed by Bai [21], for the ranking, and the representation of the aggregated effect of positive and negative evaluations in the performance ratings of the alternatives based on IVIFS data in the M-TOPSIS model.…”

Section: Preliminariesmentioning

confidence: 99%

Application of Intuitionistic Fuzzy Topsis Model for Troubleshooting an Offshore Patrol Boat Engine

Aikhuele

Sorooshian

Ansah

et al. 2017

Polish Maritime Research

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In this paper, an Intuitionistic Fuzzy TOPSIS model which is based on a score function is proposed for detecting the root cause of failure in an Offshore Boat engine, using groups of expert's opinions. The study which has provided an alternative approach for failure mode identification and analysis in machines, addresses the machine component interaction failures which is a limitation in existing methods. The results from the study show that although early detection of failures in engines is quite difficult to identify due to the dependency of their systems from each other. However, with the Intuitionistic Fuzzy TOPSIS model which is based on an improved score function such faults/failuresare easily detected using expert's based opinions.

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Section: Preliminariesmentioning

confidence: 99%

Application of Intuitionistic Fuzzy Topsis Model for Troubleshooting an Offshore Patrol Boat Engine

Aikhuele

Sorooshian

Ansah

et al. 2017

Polish Maritime Research

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“…In order to make comparisons between two IVIFSs, metric methods have been introduced by several researchers (Li, 2010) (Ye, 2009), however, in this study we will be concern with the improved score function originally proposed by Bai (Bai, 2013), for the ranking, and the representation of the aggregated effect of positive and negative evaluations in the performance ratings of the alternatives based on IVIFS data in the M-TOPSIS model. The computation formula for the improved score function is given as;…”

Section: ([ ] [ ])mentioning

confidence: 99%

An Integrated Fuzzy Dephi and Interval-Valued Intuitionistic Fuzzy M-Topsis Model for Design Concept Selection

Aikhuele

Turan

2017

Pak.j.stat.oper.res.

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In this paper, the Modified Technique for Order Preference by Similarity to the Ideal Solution (M-TOPSIS) model has been extended into the intuitionistic fuzzy environment. By applying the improved score function first, to represent the aggregated effect of positive and negative evaluations in the performance ratings of the alternatives based on interval-valued intuitionistic fuzzy set (IVIFS) data and in combination with the weighted normalized Euclidean distance for the computation of the separation measures of alternative(s) for the intuitionistic positive and negative ideal solutions. The two methods which have been used for the computation of the separation measure have been integrated using a new reflection defuzzification integration formula which has been introduced in this study. To prove the efficacy of the proposed model, the model have been applied for the evaluation and selection design concept for a new printed circuit board (PCB), and for a modified hypothetical example which is based on the selection of a preferred Naval vessel as a reference for a new design.

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“…Chen ve Li sezgisel bulanık bilgi ile ifade edilen ÇKKV problemlerini çözmek için sezgisel bulanık entropi ölçüsü kullanan bir objektif ağırlıklandırma yöntemi önermiştir [10]. Li genelleştirilmiş sıralı ağırlıklı ortalama operatörü (the generalized ordered weighted averaging (GOWA) operator) geliştirmiş ve bu operatörü kullandığı kriter ağırlıklarının gerçel sayılarla ifade edildiği ve alternatiflerin değerlendirilmesinin SBS'la yapıldığı bir ÇKKV yöntemi sunmuştur [11]. Chen çok kriterli karar analizi yapabilmek için sezgisel bulanık iyimser ve kötümser operatörler geliştirmiş ve bu operatörleri temel aldığı iyimser ve kötümser skor fonksiyonlarıyla alternatiflerin değerlendirmesini ölçmeye çalışmıştır [12].…”

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Belirsizlik Etmenli Dinamik Bir Çok Kriterli Karar Verme Modeli

Bali¹

2014

Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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ÖZETGenellikle, çok kriterli karar verme (ÇKKV) yöntemleri alternatiflerin değerlendirmesini belirli bir zaman periyodunda veya şimdiki zaman periyodunda ele almaktadır. Ancak bazı ÇKKV problemlerinde alternatiflerin mevcut durumdaki performansı kadar geçmişe yönelik performanslarının da dikkate alınması gerekmektedir. Diğer yandan ÇKKV'nin doğasında kriterlerin yapısından veya karar vericilerin değerlendirmesinden kaynaklanan belirsizlik vardır. Bu sebeple, bu çalışmanın amacı alternatiflerin farklı zaman periyotlarında değerlendirmesine imkân sağlayan belirsizlik etmenli dinamik bir ÇKKV modeli geliştirmektir. Modelde alternatiflerin değerlendirilmesindeki belirsizliği ifade etmek için insan düşünme sistemine daha yakın olarak tanımlanan sezgisel bulanık küme (SBK) teorisi kullanılmaktadır. Önerilen modelde sezgisel bulanık sayılarla gösterilen dilsel değişkenler karar vericilere değerlendirme kolaylığı sağlamaktadır. Alternatiflerin değerlendirilmesi sonucunda ortaya çıkan sezgisel bulanıklığın durulaştırılması maksadıyla gri ilişki analizinden (GİA) yararlanılmaktadır. GİA, alternatiflerin sıralanmasında ve seçiminde kullanılan etkili bir değerlendirme yöntemidir. Çalışmada, önerilen dinamik ÇKKV modelinin uygulanabilirliğini ve etkinliğini göstermek maksadıyla bir örnek uygulama sunulmaktadır.Anahtar Kelimeler: Sezgisel bulanık küme teorisi, gri ilişki analizi, dinamik karar verme, çok kriterli karar verme A DYNAMIC MULTI CRITERIA DECISION MAKING MODEL UNDER UNCERTAINTIES ABSTRACTGenerally, evaluation of alternatives in many multi criteria decision making (MCDM) methods is considered in a specific time period or current time period. However, not only current performances but also past performances of alternatives should be taken into account in some MCDM problems. In addition to this, the nature of MCDM consists of uncertainties due to structure of criteria or evaluation of decision makers. Therefore, the aim of this study is to develop a dynamic MCDM model based on uncertainties which enables to evaluate the alternatives in different periods. In this model, intuitionistic fuzzy set (IFS) theory, which is closer way for human thinking, is used to represent uncertainties in evaluation of alternatives. Linguistic variables shown with intuitionistic fuzzy numbers in the proposed model provide easiness for decision makers. To make defuzzification intuitionistic fuzziness obtaining after evaluation of alternatives is utilized grey relational analysis (GRA). GRA is an effective method used in the ranking and selection of the alternatives. In the study, a numerical example is presented to show the applicability and efficiency of the proposed dynamic MCDM model.

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Multiattribute decision making method based on generalized OWA operators with intuitionistic fuzzy sets

Cited by 156 publications

References 31 publications

Application of Intuitionistic Fuzzy Topsis Model for Troubleshooting an Offshore Patrol Boat Engine

Application of Intuitionistic Fuzzy Topsis Model for Troubleshooting an Offshore Patrol Boat Engine

An Integrated Fuzzy Dephi and Interval-Valued Intuitionistic Fuzzy M-Topsis Model for Design Concept Selection

Belirsizlik Etmenli Dinamik Bir Çok Kriterli Karar Verme Modeli

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