Ideal Reference Method with Linguistic Labels: A Comparison with LTOPSIS

Cables, Elio; Lamata, María Teresa; Verdegay, José L.

doi:10.1007/978-3-030-10463-4_6

Cited by 4 publications

(2 citation statements)

References 44 publications

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“… The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) [ 56 ] aims at finding an alternative solution using the shortest and longest Euclidean distance from the optimal positive solution and the optimal negative solution, respectively. This method is usually enhanced by additional algorithms, as shown in [ 48 , 49 , 50 ]. The Data Envelopment Analysis (DEA) [ 57 ] assesses the relative efficiencies of comparable entity sets by solving a series of mathematical programming models [ 51 ].…”

Section: Computational Methods For Decision-making Under Uncertaintymentioning

confidence: 99%

Decision-Making under Uncertainty for the Deployment of Future Hyperconnected Networks: A Survey

Alzate-Mejía

Santos-Boada

Amazonas

2021

Sensors

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Among the several emerging dimensioning, control and deployment of future communication network paradigms stands out the human-centric characteristic that creates an intricate relationship between telematics and human activities. The hard to model dynamics of user behavior introduces new uncertainties into these systems that give rise to difficult network resource management challenges. According to this context, this work reviews several decision-making computational methods under the influence of uncertainties. This work, by means of a systematic literature review, focuses on sensor-based Internet of Things scenarios such as Smart Spaces and Industry 4.0. According to our conclusions, it is mandatory to establish a means for modeling the human behavior context in order to improve resource assignment and management.

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Section: Computational Methods For Decision-making Under Uncertaintymentioning

confidence: 99%

Decision-Making under Uncertainty for the Deployment of Future Hyperconnected Networks: A Survey

Alzate-Mejía

Santos-Boada

Amazonas

2021

Sensors

View full text Add to dashboard Cite

show abstract

“…-Technique for Order of Preference by Similarity to Ideal Solution (TOP-SIS): this method seeks to find an alternative solution with the shortest and longest Euclidean distance from the optimum positive solution and the optimum negative solution, respectively. These solutions are mostly addressed in studies where this method is supplemented by additional algorithms, as shown in [33], [8], [5]. -Data Envelopment Analysis (DEA): it is a methodology created to assess the relative efficiencies of comparable entity sets by solving a series of mathematical programming models [18].…”

Section: Multiple Criteria Decision Makingmentioning

confidence: 99%

Decision Making Under Uncertainty for the Deployment of Future Networks in IoT Scenarios

Alzate-Mejía

Boada

Amazonas

2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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The main characteristic of various emerging communication network paradigms in the dimensioning, control and deployment of future networks is the fact that they are human-centric, entailing closelyknit interactions between telematics and human activities. Considering the effect of user behavior, whose dynamics are difficult to model, new uncertainties are introduced in these systems, bringing about network resource management challenges. Within this context, this study seeks to review different decision-making computational methods in conditions of uncertainty for Internet of Things scenarios such as smart spaces, and industry 4.0, through a systematic literature review. According to our research results, a new paradigm for computationally capturing and modeling human behavior context must be developed with the purpose of improving resource management.

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