ELECTRE method using interval-valued intuitionistic fuzzy sets and possibility theory for multi-criteria decision making problem resolution

Dammak, Fatma; Baccour, Leila; Ayed, Abdelkarim Ben; Alimi, Adel M.

doi:10.1109/fuzz-ieee.2017.8015408

Cited by 11 publications

(6 citation statements)

References 23 publications

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“…From Europe, the following methods are worth mentioning: The Elimination and Choice Expressing Reality (ELECTRE) [ 52 ] eliminates non-viable solution alternatives and is usually employed along with another MCDM method in order to optimize execution times [ 35 , 36 , 37 ]. The Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) [ 53 ] builds an external classification for various alternatives based on a combination of mathematical and psychological methods developing its own understanding of the problem to help agents choose the option that best serves their purpose.…”

Section: Computational Methods For Decision-making Under Uncertaintymentioning

confidence: 99%

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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%

“…The Elimination and Choice Expressing Reality (ELECTRE) [ 52 ] eliminates non-viable solution alternatives and is usually employed along with another MCDM method in order to optimize execution times [ 35 , 36 , 37 ].…”

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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“…-Elimination and Choice Expressing Reality (ELECTRE): it is used to eliminate non-viable solution alternatives. This method is usually combined with another MCDM method to minimize execution times, as in the following studies: [28], [35], [10]. -Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE): this method is founded on mathematical and psychological methods used to develop an external classification for various alternatives, thus helping agents to choose the option that best serves its purpose as per its own understanding of the issue.…”

Section: Multiple Criteria Decision Makingmentioning

confidence: 99%

Broadband Communications, Networks, and Systems

Liu¹,

Shi²,

Li³

et al. 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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“…As mentioned, modal logic is the most well-known logic of possibilities, necessities, and other concepts related to them. Fuzzy logic approaches in the theory of possibility [16,19,36,49,50,66], belief functions [9,17,38,54,55,65], and possibility measures [1,15,20,23,34,35,59] are other salient approaches to the analysis of knowledge through possible worlds. Also, Doxastic Logic has been concerned with reasoning about beliefs.…”

Section: Literature Reviewmentioning

confidence: 99%

Towards Contingent World Descriptions in Description Logics

Badie

2019

LLP

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The philosophical, logical, and terminological junctions between Description Logics (DLs) and Modal Logic (ML) are important because they can support the formal analysis of modal notions of 'possibility' and 'necessity' through the lens of DLs. This paper introduces functional contingents in order to (i) structurally and terminologically analyse 'functional possibility' and 'functional necessity' in DL world descriptions and (ii) logically and terminologically annotate DL world descriptions based on functional contingents. The most significant contributions of this research are the logical characterisation and terminological analysis of functional contingents in DL world descriptions. The ultimate goal is to investigate how modal operators can  logically and terminologically  be expressed within DL world descriptions.

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ELECTRE method using interval-valued intuitionistic fuzzy sets and possibility theory for multi-criteria decision making problem resolution

Cited by 11 publications

References 23 publications

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

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

Broadband Communications, Networks, and Systems

Towards Contingent World Descriptions in Description Logics

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