Multi Criteria Evaluation Framework for Prioritizing Indian Railway Stations Using Modified Rough AHP-Mabac Method

Sharma, Haresh Kumar; Roy, Jagannath; Kar, Samarjit; Prentkovskis, Olegas

doi:10.2478/ttj-2018-0010

Cited by 48 publications

(29 citation statements)

References 31 publications

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“…To measure the perception of service quality, Altuntas et al [37] used the SERVQUAL model and two of the most known methods of MCDM method-based scales. By applying MCDM methods, it is possible to choose appropriate strategies, rationalize certain logistics and other processes, and make appropriate decisions that affect the operations of companies or their subsystems, as proved by the following research [38][39][40][41][42][43][44][45][46][47][48][49][50][51]. These methods can be easily integrated into other approaches, such as integration with SWOT (strengths, weaknesses, opportunities, and threats) analysis [42] or with the SERVQUAL model, as is the case in this paper.…”

Section: Integrated Mcdm-servqual Model For Quality Measurementmentioning

confidence: 86%

A New Methodology for Improving Service Quality Measurement: Delphi-FUCOM-SERVQUAL Model

et al. 2018

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The daily requirements and needs imposed on the executors of logistics services imply the need for a higher level of quality. In this, the proper execution of all sustainability processes and activities plays an important role. In this paper, a new methodology for improving the measurement of the quality of the service consisting of three phases has been developed. The first phase is the application of the Delphi method to determine the quality dimension ranking. After that, in the second phase, using the FUCOM (full consistency method), we determined the weight coefficients of the quality dimensions. The third phase represents determining the level of quality using the SERVQUAL (service quality) model, or the difference between the established gaps. The new methodology considers the assessment of the quality dimensions of a large number of participants (customers), on the one hand, and experts’ assessments on the other hand. The methodology was verified through the research carried out in an express post company. After processing and analyzing the collected data, the Cronbach alpha coefficient for each dimension of the SERVQUAL model for determining the reliability of the response was calculated. To determine the validity of the results and the developed methodology, an extensive statistical analysis (ANOVA, Duncan, Signum, and chi square tests) was carried out. The integration of certain methods and models into the new methodology has demonstrated greater objectivity and more precise results in determining the level of quality of sustainability processes and activities.

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Section: Integrated Mcdm-servqual Model For Quality Measurementmentioning

confidence: 86%

A New Methodology for Improving Service Quality Measurement: Delphi-FUCOM-SERVQUAL Model

et al. 2018

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“…(1) Unlike previous studies on criteria weight estimation (for example analytical hierarchy process (AHP) [41], decision making trial and evaluation laboratory (DEMATEL) [42], entropy based method [37], optimization model [36][37][38], etc. ), the proposed method does not produce unrealistic and unreasonable weight values.…”

Section: Proposed Lhfsv Methodsmentioning

confidence: 99%

“…(3) Further, a new method for criteria weight estimation is presented which is an extension to standard variance (SV) under an LHFS context. Previous studies on weight estimation have predominantly used entropy measures [37], optimization models [38][39][40], analytic hierarchy process (AHP) [41] method, and decision making trial and evaluation laboratory (DEMATEL) [42], etc., which often yields unreasonable and irrational weight values. Motivated by this challenge, we set our proposal towards this direction.…”

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confidence: 99%

A Decision Framework under a Linguistic Hesitant Fuzzy Set for Solving Multi-Criteria Group Decision Making Problems

et al. 2018

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With fast-growing interest in sustainable healthcare management, proper selection and evaluation of hospitals become highly essential. Generally, experts/decision-makers (DMs) prefer qualitative information for rating objects. Motivated by this idea, in this paper, a linguistic hesitant fuzzy set (LHFS) is adopted for elicitation of preference information. The LHFS provides qualitative preferences of DMs as well as reflects their hesitancy, inconsistency, and vagueness. Motivated by the power of LHFS, in this paper we present a new decision framework that initially presents some operational laws and properties. Further, a new aggregation operator called simple linguistic hesitant fuzzy weighted geometry (SLHFWG) is proposed under the LHFS context that uses the strength of power operators. Some properties of SLHFWG are also investigated. Criteria weights are estimated using a newly proposed linguistic hesitant fuzzy statistical variance (LHFSV) method, and objects are ranked using the newly proposed linguistic hesitant fuzzy VIKOR (visekriterijumska optimizacijai kompromisno resenje) (LHFVIKOR) method, which is an extension of VIKOR under the LHFS context. The practicality and usefulness of the proposal are demonstrated by using a hospital evaluation example for sustainable healthcare management. Finally, the strengths and weaknesses of the proposal are realized by comparison with other methods.

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“…Pamucar et al [53] modified the MABAC methods with uncertain fuzzy-rough numbers. Sharma et al [54] investigated the multiple criteria evaluation framework by using the rough AHP-MABAC method. Xue et al [55] studied the MABAC model to select material under interval-valued IFSs.…”

Section: Introductionmentioning

confidence: 99%

Supplier Selection of Medical Consumption Products with a Probabilistic Linguistic MABAC Method

Wei

et al. 2019

IJERPH

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In order to obtain an optimal medical consumption product supplier, the integration of combined weights and multi-attributive border approximation area comparison (MABAC) under probabilistic linguistic sets (PLTSs) has offered a novel integrated model in which the CRiteria Importance Through Intercriteria Correlation (CRITIC) method is employed for calculating the objective weights of various attributes and the MABAC method with PLTSs is used to acquire the final ranking result of a medical consumption product supplier. Additionally, so as to indicate the applicability of the devised method, this model is confirmed by a numerical case for the supplier selection of medical consumption products. Some comparative studies are made with some existing methods. The proposed method can also successfully select suitable alternatives in other selection problems.

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Multi Criteria Evaluation Framework for Prioritizing Indian Railway Stations Using Modified Rough AHP-Mabac Method

Cited by 48 publications

References 31 publications

A New Methodology for Improving Service Quality Measurement: Delphi-FUCOM-SERVQUAL Model

A New Methodology for Improving Service Quality Measurement: Delphi-FUCOM-SERVQUAL Model

A Decision Framework under a Linguistic Hesitant Fuzzy Set for Solving Multi-Criteria Group Decision Making Problems

Supplier Selection of Medical Consumption Products with a Probabilistic Linguistic MABAC Method

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