Fuzzy trust evaluation based on consistency intensity for cloud services

Kybernetes ◽  
2015 ◽  
Vol 44 (1) ◽  
pp. 7-24 ◽  
Author(s):  
Ying Huo ◽  
Yi Zhuang ◽  
Siru Ni
Keyword(s):  
Evaluation Method ◽  
Cloud Service ◽  
Evaluation Framework ◽  
Cloud Services ◽  
Discount Factor ◽  
Fuzzy Evaluation ◽  
Trust Evaluation ◽  
Fuzzy Information ◽  
Content Type ◽  
Cloud Storage Service

Purpose – The purpose of this paper is to define an evaluation model for cloud services to deal with the fuzzy information and propose a novel fuzzy evaluation method based on consistency intensity to analyze the quantitative value from the fuzzy information. Design/methodology/approach – The cloud service evaluation framework is constructed, and different trusted indicators for the infrastructure services and the application services are designed, respectively. In the novel fuzzy evaluation method, the interval values can be aggregated by the Dempster-Shafer Theory and be transformed into the certain value by linguistic discount factor. The consistency intensity is proposed to determine the value of the linguistic discount factor, which can reflect the mainstream opinions in the assessment. Findings – The proposed method can solve the problem on the analysis and synthesis of the fuzzy evaluation information. An instance of trust evaluation of cloud storage service is illustrated to verify that the proposed method can express the opinions of all evaluators more adequately. Practical implications – A serial of experiments are carried out on NetLogo, and the results show that the proposed method is practical and efficient. Originality/value – Instead of obtaining only the qualitative results by the multi-attribute decision-making method, the fuzzy evaluation method based on consistency intensity can obtain the quantitative results from the fuzzy information according to linguistic discount factor and consistency intensity.

scholarly journals Research on cloud computing service based on trust access control

2020 ◽  
Vol 12 ◽  
pp. 184797901989744 ◽  
Author(s):  
Panjun Sun
Keyword(s):  
Access Control ◽  
Evaluation Method ◽  
Research Performance ◽  
Cloud Service ◽  
Cloud Services ◽  
Trust Evaluation ◽  
Practical Application ◽  
Cloud Service Provider ◽  
Direct Trust ◽  
Cloud Computing Service

Recently, more and more network fraud incidents have damaged the interests of cloud service traders. To enhance mutual trust and win–win cooperation between the users and the cloud service provider, in the article, we construct a trust access control model for cloud services. First, we propose a trust evaluation method based on direct trust, trust risk, feedback trust, reward penalty, and obligation trust to express the complexity and uncertainty of trust relationship. Second, we propose trust evaluation and weight algorithm of trust factor by information entropy and maximum dispersion; therefore, our model has a better scientific and higher practical application value. Finally, we design related comparative experiments of three models to verify the efficiency, success rate, accuracy of trust evaluation, and privacy disclosure date, and these results show that our research performance is quite superior.

Research on Behavior Trust Evaluation Method of Cloud Services Based on Membership Theory

2013 ◽  
Vol 427-429 ◽  
pp. 2377-2382
Author(s):  
Ying Liu ◽  
Yan Wang ◽  
Xian You Sun
Keyword(s):  
Evaluation System ◽  
Evaluation Method ◽  
Service Providers ◽  
Evaluation Model ◽  
Degree Theory ◽  
Cloud Service ◽  
Cloud Services ◽  
Trust Evaluation ◽  
Wide Range ◽  
Cloud Users

Among the wide range of cloud service providers with different performance characteristics, in order to let the cloud users find cloud services which satisfy its performance preferences and specific trust levels,it needs to establish a reasonable and scientific cloud service trust evaluation system. This paper introduces a membership degree theory into trust evaluation model. First, it designs the trust evaluation system framework of cloud services, and establishes a trust evaluation model of cloud services. Next, it calculates the trust level of cloud services with the comprehensive trust cloud center of gravity evaluation method (CCGE). Finally, the experiment results show that this model can build precise trust relationship between cloud users and cloud services based on users performance demands.

A method for trust evaluation in the cloud environments using a behavior graph and services grouping

Kybernetes ◽  
2017 ◽  
Vol 46 (7) ◽  
pp. 1245-1261 ◽  
Author(s):  
Roghiyeh Hajizadeh ◽  
Nima Jafari Navimipour
Keyword(s):  
Evaluation Method ◽  
Cloud Services ◽  
Trust Evaluation ◽  
Content Type ◽  
Trust Value ◽  
Cloud Providers ◽  
Cloud Environments ◽  
Recall Error ◽  
Trust Metric ◽  
Reliability And Availability

Purpose Cloud services have become very popular among researchers and people recently. In such a scenario, identifying reliable cloud services has become very important. The trust value plays a significant role in recognizing reliable providers. The purpose of this paper is to propose a new method to evaluate the trust metric among the cloud providers. The main goal is to increase the precision and accuracy of the trust evaluation method in the cloud environments. Design/methodology/approach This paper evaluates the trust metric among the cloud providers and entities by grouping the services and using a behavioral graph. Four parameters, availability, reliability, interaction evolution and identity, are used for evaluating the trust value. The performance of the proposed method is assessed using a simulator which is programmed in the cloud Azure 2013 based on C# codes. Findings The method is evaluated through various experiments in terms of precision, recall, error-hit, reliability and availability. The obtained results show that the proposed method has better reliability and availability than the FIFO and QoS models. Also, the results show that increasing the number of groups leads to increasing values of trust, precision and availability, and decreasing values of error-hit. Originality/value This paper proposes a trust evaluation method in the cloud environment by grouping the services and using a behavioral graph for improving the amount of availability, error-hit, precision and reliability values.

Personalized cloud service review analysis based on modularized ontology

2020 ◽  
Vol 44 (5) ◽  
pp. 953-975
Author(s):  
Emna Ben-Abdallah ◽  
Khouloud Boukadi ◽  
Mohamed Hammami ◽  
Mohamed Hedi Karray
Keyword(s):  
Knowledge Base ◽  
Positive Impact ◽  
Cloud Service ◽  
Service Evaluation ◽  
End Users ◽  
Cloud Services ◽  
Limited Information ◽  
Content Type ◽  
Ontology Language ◽  
Modular Ontology

PurposeThe purpose of this paper is to analyze cloud reviews according to the end-user context and requirements.Design/methodology/approachpropose a comprehensive knowledge base composed of interconnected Web Ontology Language, namely, modular ontology for cloud service opinion analysis (SOPA). The SOPA knowledge base will be the basis of context-aware cloud service analysis using consumers' reviews. Moreover, the authors provide a framework to evaluate cloud services based on consumers' reviews opinions.FindingsThe findings show that there is a positive impact of personalizing the cloud service analysis by considering the reviewers' contexts in the performance of the framework. The authors also proved that the SOPA-based framework outperforms the available cloud review sites in term of precision, recall and F-measure.Research limitations/implicationsLimited information has been provided in the semantic web literature about the relationships between the different domains and the details on how that can be used to evaluate cloud service through consumer reviews and latent opinions. Furthermore, existing approaches are lacking lightweight and modular mechanisms which can be utilized to effectively exploit information existing in social media.Practical implicationsThe SOPA-based framework facilitates the opinion based service evaluation through a large number of consumer's reviews and assists the end-users in analyzing services as per their requirements and their own context.Originality/valueThe SOPA ontology is capable of representing the content of a product/service as well as its related opinions, which are extracted from the customer's reviews written in a specific context. Furthermore, the SOPA-based framework facilitates the opinion based service evaluation through a large number of consumer's reviews and assists the end-users in analyzing services as per their requirements and their own context.

scholarly journals The Stopit! programme to reduce bullying and undermining behaviour in hospitals

2018 ◽  
Vol 32 (3) ◽  
pp. 428-443 ◽  
Author(s):  
Graham Benmore ◽  
Steven Henderson ◽  
Joanna Mountfield ◽  
Brian Wink
Keyword(s):  
Evaluation Method ◽  
Realist Evaluation ◽  
Evaluation Framework ◽  
Content Type ◽  
Training Interventions ◽  
Research Findings ◽  
Past Experiences ◽  
The Impact ◽  
Q Sort ◽  
Practical Implications

Purpose The impact of bullying and undermining behaviours on the National Health Service on costs, patient safety and retention of staff was well understood even before the Illing report, published in 2013, that reviewed the efficacy of training interventions designed to reduce bullying and harassment in the outputs. The purpose of this paper is to provide an example of a good programme well evaluated. Design/methodology/approach The methodology follows a broad realist approach, by specifying the underlying programme assumptions and intention of the designers. Three months after the event, Q-sort methodology was employed to group participants into one of three contexts – mechanism – output groups. Interviews were then undertaken with members of two of these groups, to evaluate how the programme had influenced each. Findings Q-sort identified a typology of three beneficiaries from the Stopit! workshops, characterised as professionals, colleagues and victims. Each group had acted upon different parts of the programme, depending chiefly upon their current and past experiences of bullying in hospitals. Research limitations/implications The paper demonstrates the effectiveness of using Q-sort method to identify relevant CMOs in a realist evaluation framework. Practical implications The paper considers the effectiveness of the programme to reduce bullying, rather than teach victims to cope, and how it may be strengthened based upon the research findings and Illing recommendations. Social implications Workplace bullying is invariably implicated in scandals concerning poor hospital practice, poor patient outcomes and staff illness. All too frequently, the sector responds by offering training in resilience, which though helpful, places the onus on the victim to cope rather than the employer to reduce or eliminate the practice. This paper documents and evaluates an attempt to change workplace practices to directly address bullying and undermining. Originality/value The paper describes a new programme broadly consistent with Illing report endorsements. Second, it illustrates a novel evaluation method that highlights rigorously the contexts, mechanisms and outcomes at the pilot stage of an intervention identifies contexts and mechanisms via factor analysis using Q-sort methodology.

Virtual reality in social marketing: a process evaluation

2019 ◽  
Vol 37 (7) ◽  
pp. 806-820 ◽  
Author(s):  
Timo Dietrich ◽  
Sharyn Rundle-Thiele ◽  
Krzysztof Kubacki ◽  
James Durl ◽  
Matthew J. Gullo ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Process Evaluation ◽  
Social Marketing ◽  
Evaluation Method ◽  
Learning Experience ◽  
Research Programme ◽  
Outcome Evaluation ◽  
Evaluation Framework ◽  
Evaluation Tool ◽  
Content Type

Purpose The purpose of this paper is to present an innovative reflexive process evaluation method for a social marketing programme featuring an innovative virtual reality (VR) simulation experience for adolescents. Design/methodology/approach A process evaluation framework focusing on three key elements – context, implementation and mechanisms of impact – was followed in this study. In total, 374 participants (mean age: 15.2 years, 58 per cent female) completed outcome evaluation surveys before and after the programme delivery, and 300 participants completed qualitative feedback forms following their participation in the VR component of the programme. Findings A process evaluation delivers insights beyond those attained in outcome evaluations, enhancing the understanding of factors contributing to programme success or failure that can be used to improve future programme iterations. The VR experience demonstrated high satisfaction scores with users, and the findings demonstrate the importance of a multi-disciplinary and industry partnered programme approach to support VR implementation and delivery. Research limitations/implications This research demonstrates that additional learnings are obtained from a process evaluation. The findings are limited to one specific research programme, and the outcome effects of the VR simulation have not been assessed in isolation. Practical implications The methods outlined in this paper offer a process evaluation tool that can be used by marketers and other practitioners to reflect on programme success or failure to enhance core offerings. Originality/value The application of Moore et al.’s (2015) process evaluation framework delivers a reflexive research tool that can be applied to critically consider three key elements: context, implementation and mechanisms of impact of developed programmes. VR’s capacity to provide a satisfying and highly valued programme resource that participants value for its realistic, novel and immersive experiential learning experience was demonstrated.

Celebrity selection in social media ecosystems: a flexible and interactive framework

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shekhar Shukla ◽  
Ashish Dubey
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Group Decision Making ◽  
Selection Criteria ◽  
Evaluation Method ◽  
Group Decision ◽  
Rank Order ◽  
Fuzzy Evaluation ◽  
Content Type ◽  
Selection For

PurposeQuantitative objective studies on the problem of celebrity selection are lacking. Furthermore, existing research does not recognize the group decision-making nature and the possibility of customer involvement in celebrity or influencer selection for social media marketing. This study conceptualizes celebrity selection as a multi-attribute group decision-making problem while deriving the final ranking of celebrities/influencers using interactive and flexible criteria based on the value tradeoff approach. The article thus proposes and demonstrates a quantitative objective method of celebrity selection for a brand or campaign in an interactive manner incorporating customer's preferences as well.Design/methodology/approachEach decision-maker's preferences for celebrity selection criteria are objectively captured and converted into an overall group preference using a modified generalized fuzzy evaluation method (MGFEM). The final ranking of celebrities is then derived from an interactive and criteria-based value tradeoff approach using the flexible and interactive tradeoff method.FindingsThe approach gives a different ranking of celebrities for two campaigns based on group members' perceived importance of the selection criteria in different scenarios. This group includes decision-makers (DMs) from the brand, marketing communication agency and brand's customers. Further, each group member has an almost equal say in the decision-making based on fuzzy evaluation and an interactive and flexible value tradeoff approach to celebrity selection for receiving a rank order.Research limitations/implicationsThe approach uses secondary data on celebrities and hypothetical scenarios. Comparison with other methods is difficult, as no other study proposes a multi-criteria group decision-making approach to celebrity selection especially in a social media context.Practical implicationsThis approach can help DMs make more informed, objective and effective decisions on celebrity selection for their brands or campaigns. It recognizes that there are multiple stakeholders, including the end customers, each of whose views is objectively considered in the aspects of group decision-making through a fuzzy evaluation method. Further, this study provides a selection mechanism for a given context of endorsement by objectively and interactively encapsulating stakeholder preferences.Originality/valueThis robust and holistic approach to celebrity selection can help DMs objectively make consensual decisions with partial or complete information. This quantitative approach contributes to the literature on selection mechanisms of influencers, celebrities, social media opinion leaders etc. by providing a methodological aid that encompasses aspects of interactive group decision-making for a given context. Moreover, this method is useful to DMs and stakeholders in understanding and incorporating the effect of nature or context of the brand and the campaign type in the selection of a celebrity or an influencer.

A Trust Evaluation Method for Cloud Service with Fluctuant QoS and Flexible SLA

2014 ◽  
Author(s):  
Lianyong Qi ◽  
Wanchun Dou ◽  
Jiancheng Ni ◽  
Xiaona Xia ◽  
Chunmei Ma ◽  
...  
Keyword(s):  
Evaluation Method ◽  
Cloud Service ◽  
Trust Evaluation

Prioritization technique for learning cloud services

2015 ◽  
Vol 8 (3) ◽  
pp. 222-231 ◽  
Author(s):  
Apitchaka Singjai ◽  
Pradorn Sureephong
Keyword(s):  
Design Methodology ◽  
Cloud Service ◽  
Cloud Services ◽  
Content Type ◽  
Services Utilization ◽  
Technology Students ◽  
Media And Technology ◽  
Service Groups ◽  
Combined Technique

Purpose – The purpose of this paper is to propose a combined technique of cumulative voting and numerical assignment to prioritize the services of the learning cloud service. Design/methodology/approach – The approach starts with requirement elicitation, then analyses of the requirements in terms of prioritization and finally classifies the priority of services into groups. Findings – As a result of the case study the requirements of the College of Art Media and Technology students has been classified into three service groups. Originality/value – This combined prioritized techniques can involve learners in the decision making process about learning cloud services utilization in the organizations.

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