Prioritizing the solution of cloud service selection using integrated MCDM methods under Fuzzy environment

Kumar, Rakesh Ranjan; Mishra, Siba; Kumar, Chiranjeev

doi:10.1007/s11227-017-2039-1

Cited by 97 publications

(46 citation statements)

References 44 publications

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“…It is noted that Equations (19) and (20) are based on the adjusted weight w j of criterion c j , while Equation (21) is based on the original weight w j of c j .…”

Section: A Z-number-based Dnma Methodsmentioning

confidence: 99%

“…Step 5. We calculate utility values of CCM, UCM, and ICM by Equations (19), (20) and (21), respectively. The results are shown in Table 8.…”

Section: Dm1mentioning

confidence: 99%

“…However, most of these methods have only one normalization technique in benefit and cost criteria, which would mislead the decision matrix. In addition, considering that the valuation information may be uncertain, many fuzzy MCDM methods have been proposed for CSP selection with different information representation forms [10,11,[18][19][20][21][22][23][24] like Triangular Fuzzy Numbers (TFNs) [10], Intuitionistic Fuzzy Set (IFS) [23], Interval-Valued Intuitionistic Fuzzy Sets (IIVIFS) [18,21] and Probabilistic Linguistic Term Sets (PLTSs) [24]. However, most of these researches did not consider the reliability of the information given by decision makers.A recently proposed MCDM method, the double normalization-based multiple aggregation (DNMA) method, [25] takes advantages of two normalization techniques and three aggregation functions to tackle quantitative and qualitative criteria in the forms of benefit, cost, and target types.…”

mentioning

confidence: 99%

See 2 more Smart Citations

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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“…It is noted that Equations (19) and (20) are based on the adjusted weight w j of criterion c j , while Equation (21) is based on the original weight w j of c j .…”

Section: A Z-number-based Dnma Methodsmentioning

confidence: 99%

“…Step 5. We calculate utility values of CCM, UCM, and ICM by Equations (19), (20) and (21), respectively. The results are shown in Table 8.…”

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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“…Most of the existing cloud service selection models are considered as QoS-aware evaluation focused models. In practice, the QoS attributes have problems like subjectivity, vagueness, and uncertainty [7]. For instance, the access reliability of cloud service is strongly affected by decision maker's subjective perception, and corresponding rating on this attribute is vague.…”

Section: Introductionmentioning

confidence: 99%

“…Subsequently, a range of formats are involved to describe the QoS attributes, such as crisp data, interval data, triangular fuzzy number (TFN), and intuitionistic fuzzy number (IFN), etc. Although researchers have tried to solve these problems [7][8][9], existing models cannot handle these heterogeneous QoS attributes simultaneously. In this research, the heterogeneous QoS data are transformed into IFNs; then the heterogeneous QoS attributes can be handled simultaneously.…”

Section: Introductionmentioning

confidence: 99%

A Heterogeneous QoS-Based Cloud Service Selection Approach Using Entropy Weight and GRA-ELECTRE III

Liu

Shao

et al. 2020

Mathematical Problems in Engineering

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With the development of cloud computing, more and more resources are provided in the form of cloud services. Then how to select suitable cloud service for users without professional knowledge has become an important issue. Existing cloud service selection models are usually considered as QoS-aware evaluation focused models. In practice, the QoS attributes have problems like subjectivity, vagueness, and uncertainty, and a range of formats are involved to describe QoS attributes. Therefore, it is necessary to consider the heterogeneous formats of QoS attributes in cloud service selection process. The aim of this paper is to develop a novel cloud service selection approach using entropy weight and GRA-ELECTRE III that can handle heterogeneous QoS attributes simultaneously. In the proposed approach, heterogeneous QoS attributes are handled simultaneously by being transformed into intuitionistic fuzzy numbers; the relative weights of QoS attributes are calculated objectively by the extended entropy measure method under intuitionistic fuzzy environment; and cloud services are evaluated by GRA-ELECTRE III integrated method under intuitionistic fuzzy environment. Experimental results show that the proposed approach has good stability and discrimination in dealing with heterogeneous data and can effectively avoid compensation between attributes.

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Analytic hierarchy process‐based prioritization framework for vendor's reliability challenges in global software development

Khan

Hussain

Zamir

2020

J Software Evolu Process

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The concept of global software development was adopted by software organizations for the purpose of delivering quality software products at a reduced cost. Software reliability became one of the eminent challenges in the global software development. The main objective of this research paper is to develop a classification of the challenging factors in the global software development process faced by vendor organizations. The classification of the challenges depends on the data gathered through systematic literature review and implementation of the analytic hierarchy process (AHP). A total of 18 challenges were explored through systematic literature review and mapped into five categories, that is, capability, reliance, delivery, management, and distinction. The explored issues played a major role for assisting the researcher and designer for mitigating the challenges during “AHP based prioritization framework for Vendor's Reliability challenges in Global Software Development”. Taking the AHP approach, we tried to fill this research gap by exploring and prioritizing the challenges that could negatively impact the vendor reliability of a specific organization. The classification of the explored challenges provided a framework that was used to deal with the issues associated with software reliability in the global software environment, which provided the vital role for the success of software organizations.

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Prioritizing the solution of cloud service selection using integrated MCDM methods under Fuzzy environment

Cited by 97 publications

References 44 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

A Heterogeneous QoS-Based Cloud Service Selection Approach Using Entropy Weight and GRA-ELECTRE III

Analytic hierarchy process‐based prioritization framework for vendor's reliability challenges in global software development

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