Service selection using fuzzy multi-criteria decision making: a comprehensive review

Màsdàrí, Mohàmmàd; Khezri, Hemn

doi:10.1007/s12652-020-02441-w

Cited by 38 publications

(8 citation statements)

References 88 publications

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“…Sun et al [69] further extended the review to analyze different CV selection models with diverse preference structures. Masdari & Khezri [54] have recently prepared a detailed review of varying MCDM models for CV selection. All these review papers infer the urge for a systematic approach to CV selection.…”

Section: Selection Made By Using Mcdm Methodsmentioning

confidence: 99%

“…In the realm of solutions to the issue, researchers adopt MCDM approaches. Sun et al [69] and Masdari & Khezri [54] made interesting reviews on CV selection by using MCDM concepts, from which it can be inferred that (i) these models are unable to handle views/preferences from multiple users/experts and (ii) complex linguistic expressions are not formulated well for rational decision-making. These inferences motivated the following research lacunae:…”

Section: Introductionmentioning

confidence: 99%

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RETRACTED ARTICLE: Cloud vendor selection for the healthcare industry using a big data-driven decision model with probabilistic linguistic information

et al. 2022

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The role of cloud services in the data-intensive industry is indispensable. Cision recently reported that the cloud market would grow to 55 billion USD, with an active contribution of the cloud to healthcare around 2025. Inspired by the report, cloud vendors expand their market and the quality of services to seek growth globally. The rapid growth of the cloud sector in the healthcare industry imposes a challenge: making a rational choice of a cloud vendor (CV) out of a diverse set of vendors. Typically, the healthcare industry 4.0 sees the issue as a large-scale group decision-making problem. Previous studies on a CV selection face certain challenges, such as (i) a lack of the ability to handle multiple users’ views, as well as experts’/users’ complex linguistic views; (ii) the confidence level associated with a view is not considered; (iii) the transformation of multiple users’ views into holistic data is lacking; and (iv) the systematic prioritization of CVs with minimum human intervention is a crucial task. Motivated by these challenges and circumventing them, a new big data-driven decision model is put forward in this paper. Initially, the data in the form of complex expressions are collected from multiple cloud users and are further transformed into a holistic decision matrix by adopting probabilistic linguistic information (PLI). PLI represents complex linguistic expressions along with the associated confidence levels. Later, a holistic decision matrix is formed with the missing values imputed by proposing an imputation algorithm. Furthermore, the criteria weights are determined by using a newly proposed mathematical model and partial information. Finally, the evaluation based on the distance from average solution (EDAS) approach is extended to PLI for the rational ranking of CVs. A real-time example of a CV selection for a healthcare center in India is exemplified so as to demonstrate the usefulness of the model, and the comparison reveals the merits and limitations of the model.

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Section: Selection Made By Using Mcdm Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Cloud vendor selection for the healthcare industry using a big data-driven decision model with probabilistic linguistic information

et al. 2022

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“…Several service selection frameworks based on fuzzy multicriteria decision making (MCDM) methods have been proposed in the literature. In Masdari and Khezri (2020) MCDM techniques are adapted to handle fuzziness of users' preferences and QoS properties to provide a more effective ranking of available services to select the most appropriate ones according to QoS factors. In Qi et al (2018), a discrete differential evolution algorithm for global quality composition optimisation is proposed, evaluating the typical QoS attributes that are service response time, availability and reliability.…”

Section: Related Workmentioning

confidence: 99%

Customisable assistive plans as dynamic composition of services with normed-QoS

Napoli

Ribino

Serino

2021

J Ambient Intell Human Comput

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Ambient assisted living solutions (AAL) aim to improve the quality of life, especially of elderly with cognitive and physical disabilities, by providing assistive tasks such as medication management, reminders of daily activities or medical tests. However, the loss of physical functions (such as mobility, eyesight and hearing), as well as the loss of cognitive functions (starting from amnesia to severe disabilities as dementia or Alzheimer), require appropriate solutions in order to offer personalised assistive tasks according to user needs and characteristics. In this paper, we propose a novel methodology that is based on the integration of a service-oriented approach with normative reasoning to automatically generate assistive tasks customised for different target user's profiles, and deployable in any AAL environment. The formalisation of the conceptual steps of the methodology is provided, together with a framework implementing them. The advantages of dynamic customisation obtained by decoupling the functional and not functional aspects of assistive technology are shown through a validation scenario.

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“…In this regard, the various classifications of services based on criteria as functional purpose, distribution area, presentation conditions, nature of consumption, etc. are presented in research reports as well as in reports of international organizations such as the United Nations, the World Trade Association and the Organization for Economic Cooperation and Development [5,6].…”

Section: Lntroductionmentioning

confidence: 99%

Institutional approach to classification of sustainable digital technologies in service logistics

et al. 2021

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Industrial revolution is the trigger of the growing demand from households for consumer services, and from the other institutional units for services improving the quality of production processes. The quality of services is the factor of the competitiveness of objects at different levels of the country’s economy. In turn, logistics mediates all the processes of building a service as an intangible product. The nowadays trend of digitalization of all economic spheres is particularly relevant for logistics of the service sector. The article shows the direct and cyclical inverse role of the service sector in the modern economy in terms of its impact on the competitiveness of objects of different levels. The classification of services relevant to the research goals is given. Features of factors of competitiveness of non-material production are revealed. The role of logistics forming the competitiveness of enterprises in the non-material sphere is shown. Criteria for the classification of digital technologies of industry 4.0 in logistics of the service sector are proposed. Digital technologies involved in the sector of consumer and non-consumer services of material impact on property are presented and justified.

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Service selection using fuzzy multi-criteria decision making: a comprehensive review

Cited by 38 publications

References 88 publications

RETRACTED ARTICLE: Cloud vendor selection for the healthcare industry using a big data-driven decision model with probabilistic linguistic information

RETRACTED ARTICLE: Cloud vendor selection for the healthcare industry using a big data-driven decision model with probabilistic linguistic information

Customisable assistive plans as dynamic composition of services with normed-QoS

Institutional approach to classification of sustainable digital technologies in service logistics

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