A hesitant fuzzy linguistic term sets-based AHP approach for analyzing the performance evaluation factors: an application to cargo sector

Tüysüz, Fatih; Şimşek, Berna

doi:10.1007/s40747-017-0044-x

Cited by 69 publications

(51 citation statements)

References 39 publications

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“…For instance, Camci et al have used HFAHP to choose the most suitable CNC router for SMEs in the woodwork industry. Tüysüz and Şimşek have used HFAHP to evaluate the performance of the branches of cargo firms. The author's model has considered following factors: operational factors, human resources–related factors, financial factors, customer relations–related factors, sales‐ and marketing‐related factors, safety‐ and security‐related factors, and cooperation with other units–related factors .…”

Section: Research Methodsology: An Integrated Model Composed Of Hfahpmentioning

confidence: 99%

“…Tüysüz and Şimşek have used HFAHP to evaluate the performance of the branches of cargo firms. The author's model has considered following factors: operational factors, human resources–related factors, financial factors, customer relations–related factors, sales‐ and marketing‐related factors, safety‐ and security‐related factors, and cooperation with other units–related factors . Zhu et al have extended HFAHP by introducing two indices to compute the consistency and considering the possibilities in the prioritization process.…”

Section: Research Methodsology: An Integrated Model Composed Of Hfahpmentioning

confidence: 99%

“…In the literature, this method has been used by many researchers. For instance, Camci et al 72 73 Zhu et al 74 have extended HFAHP by introducing two indices to compute the consistency and considering the possibilities in the prioritization process. This method is titled hesitant preference analysis.…”

Section: Hesitant Fuzzy Analytic Hierarchy Processmentioning

confidence: 99%

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A novel multicriteria sustainability investigation of energy storage systems

2019

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Summary Affordable, clean, efficient, flexible, and reliable energy storage is an important component of sustainable energy systems. There are several studies in the literature concentrating on improving the sustainability performance of energy storage systems from economic and technical perspectives. However, a comprehensive performance investigation of energy storage systems that take economic, environmental, social, and technical criteria into account is still needed. For that reason, in the present study, it is aimed to perform a complete assessment and analysis of the sustainability of energy storage systems for residential applications in communities and cities. Pumped hydro, conventional batteries, high‐temperature batteries, flow batteries, and hydrogen are the selected energy storage systems. In order to handle the vagueness and ambiguity during the assessment and to eliminate the perceived hesitancy in the decision makers' preferences, an innovative method, a hybrid hesitant fuzzy multicriteria decision‐making (MCDM) methodology composed of hesitant fuzzy analytic hierarchy process (HFAHP) and hesitant fuzzy technique for order preference by similarity to ideal solution (HFTOPSIS), is utilized to assess the sustainability of the selected systems. In this study, four different performance criteria: economic (power cost and energy cost), environmental (pollutant emissions, area requirement, wastewater quality, and solid waste production), social (safety, accessibility, ease of use, and public acceptance), and technical (efficiency, storage capacity, cycling limit, and performance degradation) are taken into consideration. The performance evaluation results indicate that technical performance has the highest influence and social performance has the lowest influence when evaluating the sustainability of the selected energy storage systems. And hydrogen has the highest sustainability performance compared with the other selected energy storage options.

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Section: Research Methodsology: An Integrated Model Composed Of Hfahpmentioning

confidence: 99%

Section: Research Methodsology: An Integrated Model Composed Of Hfahpmentioning

confidence: 99%

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A novel multicriteria sustainability investigation of energy storage systems

2019

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“…Various researches were conducted to incorporate uncertainty into AHP such as fuzzy AHP (FAHP; Chang, 1996;Wang, Luo, & Hua, 2008), Z-AHP (Azadeh, Saberi, Atashbar, Chang, & Pazhoheshfar, 2013), interval type-2 fuzzy AHP (IT2 FAHP; Kahraman, Öztayşi, Sarı, & Turanoğlu, 2014), AHP with intuitionistic fuzzy sets (IFAHP) (Sadiq & Tesfamariam, 2009), AHP with interval-valued intuitionistic fuzzy sets (IVIFAHP; Wu, Huang, & Cao, 2013), AHP with hesitant fuzzy linguistic term sets (Tüysüz & Şimşek, 2017), and rough-AHP (Aydogan, 2011) can be mentioned. In general, these studies consider either the degree of confidence of pairwise comparison value (IFAHP and IVIFAHP) or determine an interval of comparisons such as rough-AHP, IT2 FAHP and Z-AHP.…”

Section: Survey On Applications Of Uncertain Theories In Ahpmentioning

confidence: 99%

Maintenance strategy selection with risky evaluations using RAHP

Seiti

Tagipour

Hafezalkotob

et al. 2017

Multi Criteria Decision Anal

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In recent years, maintenance, especially its preventive type, has been seen as an effective and considerable factor in improving the functions of machines. Maintenance plays a vital role in organizations by keeping and increasing the reliability, accessibility, the quality of products, risk mitigation, return improvement, and safety. An effective maintenance programme can be realized by implementing a proper maintenance strategy. Therefore, maintenance and its strategies have a special status in industries. However, selecting a proper maintenance strategy has always been a complex process because maintenance is a nonrepetitive task. Likewise, the lack of failure records and constant changes in the conditions of machines makes it further complicated. Hence, the decision‐making also depends on experts' opinions and because some kind of risk and uncertainty are always there in experts evaluations, the reliability of evaluations is questionable. The present study was aimed to develop a risk‐based model grounded on the analytical hierarchical process, namely, RAHP, to meet this need of maintenance. A case study from a steel rolling company was considered to evaluate the effectiveness of this model.

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“…In addition, to reduce the biasness of the DMs in the decision-making process, the AHP incorporates a useful technique for checking the consistency of the DM's evaluations. Recently, extensive studies have been conducted on AHP in fuzzy context, such as, AHP based on 2-tuple linguistic representation model for supplier segmentation by aggregating quantitative and qualitative criteria [11], a hybrid approach based on 2-tuple fuzzy linguistic method and fuzzy AHP for evaluation in-flight service quality [12], 2 Advances in Fuzzy Systems and AHP method based on hesitant fuzzy sets for analyzing the factors affecting the performance of different branches of a cargo company [13]. To collect priorities of the DMs in AHP, different kinds of preference relations are used in the literature, but numerical preference relations [14][15][16] and linguistic preference relations (LPRs) [17,18] are the two basic preference relations that are often used in MCDM problems.…”

Section: Introductionmentioning

confidence: 99%

A Multicriteria Decision-Making Approach Based on Fuzzy AHP with Intuitionistic 2-Tuple Linguistic Sets

Faizi

Rashid

Zafar

2018

Advances in Fuzzy Systems

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In the modern literature related to linguistic decision-making, the 2-tuple linguistic representation model and its useful applications in various fields have been extensively studied and used during the last decade. Recently, some useful multicriteria decision-making (MCDM) methods have been introduced based on fuzzy analytic hierarchy process (AHP) for 2-tuple linguistic representation model. By keeping in mind the importance of this linguistic model, in this paper, we introduce a fuzzy AHP methodology for intuitionistic 2-tuple linguistic sets (I2TLSs) which is a useful extension of the 2-tuple linguistic representation model. This study is comprised of four stages. In the first stage, we define some operational laws for I2TL elements (I2TLEs) and prove some related important properties. In the second stage, intuitionistic 2-tuple linguistic preference relation (I2TLPR) and multiplicative I2TLPR are defined using I2TLSs. In the 3rd stage, a transformation mechanism is introduced which can transform an I2TLPR to a corresponding intuitionistic preference relation (IPR) and vice versa. In the fourth stage, an approach is proposed for checking the consistency of an I2TLPR and presented a method to repair the inconsistent one by using the proposed transformation mechanism. Finally, a numerical example is given and comparative analysis is carried out with the TOPSIS method to verify the validity of the proposed method.

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A hesitant fuzzy linguistic term sets-based AHP approach for analyzing the performance evaluation factors: an application to cargo sector

Cited by 69 publications

References 39 publications

A novel multicriteria sustainability investigation of energy storage systems

A novel multicriteria sustainability investigation of energy storage systems

Maintenance strategy selection with risky evaluations using RAHP

A Multicriteria Decision-Making Approach Based on Fuzzy AHP with Intuitionistic 2-Tuple Linguistic Sets

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