Evaluation of Cloud Services: A Fuzzy Multi-Criteria Group Decision Making Method

Wibowo, Santoso; Deng, Hepu; Xu, Wei

doi:10.3390/a9040084

Cited by 21 publications

(16 citation statements)

References 36 publications

(66 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The analytic network process (ANP) is integrated with zero-one goal programming by Menzel et al [51] to estimate the quality of cloud services. A fuzzy multi-criteria group decision making technique based on TOPSIS technique, has been used by Wibowo et al [72] for evaluating cloud services.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The fuzzy AHP has been used by Safari et al [67] for prioritizing cloud computing acceptance indicators, by Singla and Kaushal to allow users to select an optimal cloud service [68], by Cheng [69] for cloud computing decision making problem and a fuzzy multicriteria group decision making method based on TOPSIS technique, has been used by Wibowo et al [72] for evaluating cloud services. But these methods have some drawbacks such as: It should not represent real life situation efficiently, because it considers only the membership function and did not take into account the indeterminacy and falsity function.…”

Section: Related Work and Model Evaluationmentioning

confidence: 99%

See 1 more Smart Citation

NMCDA: A framework for evaluating cloud computing services

Abdel‐Basset

Mohamed

Chang

2018

Future Generation Computer Systems

157

View full text Add to dashboard Cite

h i g h l i g h t s• Cloud services considered as a type of multi-criteria decision analysis problem. • A new approach (NMCDA) for estimating the quality of cloud services is proposed. • Ambiguous and incompatible information handling by Triangular neutrosophic numbers.• To demonstrate the performance of the proposed model a case study is presented. a b s t r a c tMany organizations are currently seeking to contract services from cloud computing rather than owing the possessions to supply those services. Due to the fast expansion of cloud computing, many cloud services have been developed. Any organization that tries to achieve the best flexibility and quick response to market requests, they have the options to use cloud services. Due to the diversity of cloud service providers, it is a very significant defy for organizations to select the appropriate cloud services which can fulfill their requirements, as numerous criteria should be counted in the selection process of cloud services. Therefore, the selection process of cloud services can be considered as a type of multi-criteria decision analysis problems. In this research paper, we present how to aid a decision maker to estimate different cloud services by providing a neutrosophic multi-criteria decision analysis (NMCDA) approach for estimating the quality of cloud services. Triangular neutrosophic numbers are used to deal with ambiguous and incompatible information which exist usually in the performance estimation process. An efficacious model is evolved depending on neutrosophic analytic hierarchy process (NAHP). The aim is to solve the performance estimation problem and improve the quality of services by creating a strong competition between cloud providers. To demonstrate the pertinence of the proposed model for disbanding the multi-criteria decision analysis, a case study is presented.The number of cloud computing services providers have increased and became a significant sector in business environments due to increasing outsourcing process of demanded technology for cloud computing services. However, the estimation process of available cloud services providers is still a complicated problem due to the following reasons [4]:1. Numerous and incompatible criteria: The evaluation criteria of cloud services providers are various and numerous, several researches listed about 100 criteria and grouped them to six main categories. These criteria are incompatible with each other in almost cases, such as achieving high performance and security of services providers apart from minimizing the operational costs. 2. Different interests of decision makers: To evaluate available cloud services providers, the evaluation criteria must be determined carefully. But the determination process of

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Related Work and Model Evaluationmentioning

confidence: 99%

NMCDA: A framework for evaluating cloud computing services

Abdel‐Basset

Mohamed

Chang

2018

Future Generation Computer Systems

157

View full text Add to dashboard Cite

show abstract

“…Much research has been done on identifying the relevant criteria for evaluating the performance of cloud service alternatives [1,3,5,6,8,[11][12][13][14][15][16][17][18][19][20][21]. A review of the related literature leads to the classification of the critical criteria into (a) Security, (b) Performance, (c) Accessibility, (d) Usability, (e) Scalability, and (f) Adaptability.…”

Section: The Cloud Service Performance Evaluation and Selection Problemmentioning

confidence: 99%

“…Much research has been done on the development of numerous methods for dealing with the cloud service performance evaluation and selection problem [3,5,6]. Garg et al [3], for example, use the analytic hierarchy process method to evaluate the performance of cloud service alternatives in an organization.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of Cloud Services: A Fuzzy Multicriteria Group Decision Making Method

Wibowo

Deng

2016

Preprint

Self Cite

View full text Add to dashboard Cite

This paper formulates the performance evaluation of cloud services as a multicriteria group decision making problem, and presents a fuzzy multicriteria group decision making method for evaluating the performance of cloud services. Interval-valued intuitionistic fuzzy numbers are used to model the inherent subjectiveness and imprecision of the performance evaluation process. An effective algorithm is developed based on the technique for order preference by similarity to ideal solution method and the Choquet integral operator for adequately solving the performance evaluation problem. An example is presented to demonstrate the applicability of the proposed fuzzy multicriteria group decision making method for solving the multicriteria group decision making problem in real world situations.

show abstract