Evaluating and visualizing QoS of service providers in knowledge-intensive crowdsourcing: a combined MCDM approach

Xie, Shixin; Wang, Xu; Yang, Biyu; Li, Longxiao; Yu, Jinfeng

doi:10.1108/ijicc-06-2021-0113

Cited by 4 publications

(2 citation statements)

References 62 publications

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“…This method of data collection is commonly used in decision making studies under an uncertain environment. For example, Ayağ and Samanlioglu (2021), Xie et al (2022), Maduekwe and Oke (2021) collected data of their case studies based on opinions or judgments from a group of experts. Some other researchers used numerical examples (Farid and Riaz, 2022; Patel and Shah, 2021) to demonstrate the applicability of their proposed method.…”

Section: Implementation Results and Comparative Analysismentioning

confidence: 99%

Intuitionistic fuzzy DEMATEL for developing causal relationship of water security

Abdullah

Pouzi

Awang

2023

IJICC

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PurposeThis study aims to develop a cause-effect relationship between criteria that contribute to water security using the Intuitionistic Fuzzy-Decision-Making Trial and Evaluation Laboratory (IF-DEMATEL) method. Differently from the typical DEMATEL which utilizes crisp numbers, this modification introduces intuitionistic fuzzy numbers (IFNs) to enhance judgments in a group decision-making environment. In particular, the linguistic variables used in IF-DEMATEL are defined using the concept of three-tuple of IFNs.Design/methodology/approachData with the linguistic variable “influence” were collected from a group of experts in water security via personal unstructured interviews. Seven water security criteria are considered in this study. Computational software was employed to execute the computational procedures of the IF-DEMATEL method. It is anticipated that by taking into account the hesitation degree of IFNs will reflect the scenario in real life, which could lead to precise decision-making.FindingsThe results show that “Over-Abstraction”, “Saltwater Intrusion” and “Limited Infrastructures” are the cause criteria that contribute to water security. In addition, the relationship map of influence shows that “Water Pollution” and “Rapid Urbanization” are the most vulnerable criteria as these two criteria are most easily affected by other criteria in a unidirectional relation.Practical implicationsIt is anticipated that these findings will serve as useful references for water security management and policymakers.Originality/valueThe present study makes a noteworthy contribution to the modification of DEMATEL where three-tuple of intuitionistic fuzzy numbers are considered in the computations. The present study also provides additional evidence with respect to factors that contribute to water security.

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Section: Implementation Results and Comparative Analysismentioning

confidence: 99%

Intuitionistic fuzzy DEMATEL for developing causal relationship of water security

Abdullah

Pouzi

Awang

2023

IJICC

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“…Due to the overwhelming number of service providers (SP) in crowdsourcing, the management of information is a rising issue. Shixin Xie et al [18] intend to present an evaluation framework for quality of service (QoS) for SPs in KI-C to accurately and thoroughly characterize the QoS of SPs, which can help with the effective selection of qualified SPs. In order to use the collective intelligence of a large number of people, a task may be outsourced to an online marketplace for crowdsourcing.…”

Section: Literature Surveymentioning

confidence: 99%

Secured MCDM Model for Crowdsource Business Intelligence

et al. 2023

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In the current era, there are a plethora of mobile phone companies rendering different features. It is challenging to distinguish the best and create correlations among them. However, this can be accomplished through crowdsourcing. Crowdsourcing is the process of gathering information from multiple sources, and we use the AHP (Analytic Hierarchy Process) process to determine which company’s model is the best among many. The weight value of each model is compared to the assigned values, and if one of the company product weights is greater than the assigned weight, that product is the best. Eventually, we can use this process to select the most preferred and best mobile phone model from among all other models. Gray Relational Analysis (GRA) is one of the most popular models, employing a grey co-efficient that estimates the data items by ranking. This model defines a process’s situation or state as black with no information and white with perfect information. In this work, AHP initially assumes criteria weights and assigns rank with the CR (Consistency Ratio) of 1.5%. The criteria weights are re-assigned based on the outcomes, and the CR remains constant as 1.5%. This work also provides an environmental-based attribute access control system, which adds the strength to the system by providing security and the integrity. So, this proposed work performs as a decision support system combined with the security enhancements, and hence it becomes a complete framework to provide a solution to a target application. The novelty of the proposed work is the combination of the crowdsourcing with the recommender system on a secured framework.

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A ranking framework for the selection of IoT cloud platforms using hybrid multi-attribute decision-making method

Raheja,

Garg,

Garg

2024

IJICC

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PurposeThe Internet of Things (IoT) cloud platforms provide end-to-end solutions that integrate various capabilities such as application development, device and connectivity management, data storage, data analysis and data visualization. The high use of these platforms results in their huge availability provided by different capabilities. Therefore, choosing the optimal IoT cloud platform to develop IoT applications successfully has become crucial. The key purpose of the present study is to implement a hybrid multi-attribute decision-making approach (MADM) to evaluate and select IoT cloud platforms.Design/methodology/approachThe optimal selection of the IoT cloud platforms seems to be dependent on multiple attributes. Hence, the optimal selection of IoT cloud platforms problem is modeled as a MADM problem, and a hybrid approach named neutrosophic fuzzy set-Euclidean taxicab distance-based approach (NFS-ETDBA) is implemented to solve the same. NFS-ETDBA works on the calculation of assessment score for each alternative, i.e. IoT cloud platforms, by combining two different measures: Euclidean and taxicab distance.FindingsA case study to illustrate the working of the proposed NFS-ETDBA for optimal selection of IoT cloud platforms is given. The results obtained on the basis of calculated assessment scores depict that “Azure IoT suite” is the most preferable IoT cloud platform, whereas “Salesman IoT cloud” is the least preferable.Originality/valueThe proposed NFS-ETDBA methodology for the IoT cloud platform selection is implemented for the first time in this field. ETDBA is highly capable of handling the large number of alternatives and the selection attributes involved in any decision-making process. Further, the use of fuzzy set theory (FST) makes it very easy to handle the impreciseness that may occur during the data collection through a questionnaire from a group of experts.

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Evaluating and visualizing QoS of service providers in knowledge-intensive crowdsourcing: a combined MCDM approach

Cited by 4 publications

References 62 publications

Intuitionistic fuzzy DEMATEL for developing causal relationship of water security

Intuitionistic fuzzy DEMATEL for developing causal relationship of water security

Secured MCDM Model for Crowdsource Business Intelligence

A ranking framework for the selection of IoT cloud platforms using hybrid multi-attribute decision-making method

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