The state-of-the-art survey on integrations and applications of the best worst method in decision making: Why, what, what for and what's next?

Mi, Xiaomei; Tang, Ming; Liao, Huchang; Shen, Wenjing; Lev, Benjamin

doi:10.1016/j.omega.2019.01.009

Cited by 335 publications

(161 citation statements)

References 108 publications

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“…x ij , for the benefit criterion min i x ij , for the cos t criterion (16) Afterwards, the target-based liner and vector normalization values are adjusted by Equation (17) to make the maximum entry as 1 under each criterion.…”

Section: A Z-number-based Dnma Methodsmentioning

confidence: 99%

“…The qualitative evaluation results are shown in Table 3. For quantitative attributes c 4 and c 5 (i.e., response time and throughput), the performances of the alternatives are obtained from the service level agreements of the CSPs, shown as (118, 75, 71, 103) and (25,17,11,16), respectively. High (H) (7,9,10) Very Low (VL) Very High (VH) (9,10,10) Table 2.…”

Section: Case Study On Csp Ranking With the Z-dnma Methodsmentioning

confidence: 99%

“…Suppose that the target value of c 1 is "Medium", i.e., (3,5,7). In addition, the target values of c 2 , c 3 , c 4 , c 5 can be computed by Equations (15) and (16). We can obtain the target value of each criterion as: z 1 = (3, 5, 7), z 2 = (6.118, 8.051, 9.339), z 3 = (5.571, 7.162, 7.958), r 4 = 71, r 5 = 25.…”

Section: Dm1mentioning

confidence: 99%

“…Moreover, the CSP evaluation data often involves uncertain, unreliability, multi-scale and imprecise weights of quality of service (QoS) parameters, such as the availability, response time, and price [7]. The existing MCDM methods for CSP selection problems can be divided into three categories: the utility value-based methods such as the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) [8], VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) [9,10], and Multiplicative Multi-Objective Optimization by Ratio Analysis (MULTIMOORA) [11]; outranking methods such as the Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE) [12] and ELimination and Choice Expressing the Reality (ELECTRE) [13]; and preference ordering methods such as the Analytic Hierarchical Process (AHP) [14] and the Best Worst Method (BWM) [9,15,16]. The utility value-based methods are easy to understand with a ranking set as its output, and as a result are widely applied in practice [17].…”

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confidence: 99%

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Sustainable Cloud Service Provider Development by a Z-Number-Based DNMA Method with Gini-Coefficient-Based Weight Determination

et al. 2020

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The sustainable development of cloud service providers (CSPs) is a significant multiple criteria decision making (MCDM) problem, involving the intrinsic relations among multiple alternatives, (quantitative and qualitative) decision criteria and decision-experts for the selection of trustworthy CSPs. Most existing MCDM methods for CSP selection incorporated only one normalization technique in benefit and cost criteria, which would mislead the decision results and limit the applications of these methods. In addition, these methods did not consider the reliability of information given by decision-makers. Given these research gaps, this study introduces a Z-number-based double normalization-based multiple aggregation (DNMA) method to tackle quantitative and qualitative criteria in forms of benefit, cost, and target types for sustainable CSP development. We extend the original DNMA method to the Z-number environment to handle the uncertain and unreliability information of decision-makers. To make trade-offs between normalized criteria values, we develop a Gini-coefficient based weighting method to replace the mean-square-based weighting method used in the original DNMA method to enhance the applicability and isotonicity of the DNMA method. A case study is conducted to demonstrate the effectiveness of the proposed method. Furthermore, comparative analysis and sensitivity analysis are implemented to test the stability and applicability of the proposed method.Sustainability 2020, 12, 3410 2 of 17 future generations to meet their own needs" [2]. Sustainability requires sustainable business practices. For doing so, information systems play an important role in the organization transition towards sustainability initiatives. The sustainable information systems have been considered as an opportunity for organizations to improve productivity, reduce costs, and increase profitability [3]. The flexible, elastic and agile nature of cloud computing provides an opportunity for governmental, academic and business organizations to consider migrating their existing applications to cloud environments to make their business processes agile with minimal cost and management effort [4]. Due to the increase in the number of cloud service providers (CSPs) offering functionally similar cloud services with varying cost, features and quality, it becomes extremely complex and burdensome to select a dependable, scalable, sustainable and high cost-effective cloud service for consumers to fulfil and satisfy their requirements and business strategies. There is a pressing need of comprehensive techniques to help them for the sustainable CSP development [5,6].Sustainable CSP development can be formulated as a multicriteria decision-making (MCDM) problem [5]. It involves the intrinsic relations among multiple alternatives, (quantitative and qualitative) decision criteria and experts for selecting the trustworthy CSPs. Moreover, the CSP evaluation data often involves uncertain, unreliability, multi-scale and imprecise weights of quality of service (QoS)...

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Section: A Z-number-based Dnma Methodsmentioning

confidence: 99%

Section: Case Study On Csp Ranking With the Z-dnma Methodsmentioning

confidence: 99%

Section: Dm1mentioning

confidence: 99%

mentioning

confidence: 99%

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Sustainable Cloud Service Provider Development by a Z-Number-Based DNMA Method with Gini-Coefficient-Based Weight Determination

et al. 2020

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“…This means that decision makers need only to examine the preference of the best criterion over other criteria and the preference of all criteria over the worst criterion utilizing scale number between 1 and 9. It has received considerable attention since its proposal, and this is why in recent years, BWM has been widely used by many scholars for different engineering applications (see an overview paper on integrations and applications of the BWM 53 ).…”

Section: Experts' Profile Quantificationmentioning

confidence: 99%

Ignorance‐aware safety and reliability analysis: A heuristic approach

Yazdi¹

2019

Quality & Reliability Eng

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In the current study, we aim to solve a group decision‐making problem on the basis of expert judgment with consideration of both global and local ignorance in system safety assessment. When data are acquired from various sources, especially subjective ones, the estimation of the data's precise value is challenging. In such a case, the basic belief assignment (bba) function is utilized to cope with the decision‐making procedure on the basis of Dempster‐Shafer theory (DST). DST, as an effective tool for manipulating inaccurate values, stills is not adequate to obtain the optimum values under the consideration of global and local subjective ignorance. To address the aforementioned subjects in this study, an innovative heuristic approach using a multiobjective programming model is introduced to derive the optimal values (bba) in the system safety assessment. An illustrative example is provided in detail to show the applicability and feasibility of the introduced heuristic approach.

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An investigation of key performance indicators for operational excellence towards sustainability in the leather products industry

et al. 2020

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Operational excellence refers to a mixed management structure that enhances the productivity of an industry by exercising the best practices and efforts for continuous improvement. In order to achieve sustainability, operational excellence initiatives are practiced by different organizations. The intent is to investigate how to perform the practices of operational excellence towards sustainability in industries. In the existing literature, some studies investigated key performance indicators (KPIs) for other domains that are not readily applicable in the background of an emerging economy, principally for the leather products industry. To fulfill these research gaps, this study contributes to the operational excellence literature by recognizing the KPIs of operational excellence towards sustainability by examining the peer-reviewed scientific articles and through expert's suggestions. The identified KPIs are segregated into six dominant categories and 27 sub-KPIs in the field of leather products industry. Further, the prioritization of the KPIs is established by adopting the best-worst method (BWM), which involves simple pairwise comparison matrices compared with other multicriteria decision making techniques. The findings indicate that the KPIs under the "Management" category are at the highest priority. It is anticipated that the results originated from the study will support the expert's to appropriately recognize the significant KPIs and drop insignificant KPIs for successful operational excellence towards sustainability practices in the supply chain of the emerging economy.

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The state-of-the-art survey on integrations and applications of the best worst method in decision making: Why, what, what for and what's next?

Cited by 335 publications

References 108 publications

Sustainable Cloud Service Provider Development by a Z-Number-Based DNMA Method with Gini-Coefficient-Based Weight Determination

Sustainable Cloud Service Provider Development by a Z-Number-Based DNMA Method with Gini-Coefficient-Based Weight Determination

Ignorance‐aware safety and reliability analysis: A heuristic approach

An investigation of key performance indicators for operational excellence towards sustainability in the leather products industry

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