A Universal Routing Algorithm Based on Intuitionistic Fuzzy Multi-Attribute Decision-Making in Opportunistic Social Networks

With the vigorous development of big data and the 5G era, in the process of communication, the number of information that needs to be forwarded is increasing. The traditional end-to-end communication mode has long been unable to meet the communication needs of modern people. Therefore, it is particularly important to improve the success rate of information forwarding under limited network resources. One method to improve the success rate of information forwarding in opportunistic social networks is to select appropriate relay nodes so as to reduce the number of hops and save network resources. However, the existing routing algorithms only consider how to select a more suitable relay node, but do not exclude untrusted nodes before choosing a suitable relay node. To select a more suitable relay node under the premise of saving network resources, a routing algorithm based on intuitionistic fuzzy decision-making model is proposed. By analyzing the real social scene, the algorithm innovatively proposes two universal measurement indexes of node attributes and quantifies the support degree and opposition degree of node social attributes to help node forward by constructing intuitionistic fuzzy decision-making matrix. The relay nodes are determined more accurately by using the multi-attribute decision-making method. Simulation results show that, in the best case, the forwarding success rate of IFMD algorithm is 0.93, and the average end-to-end delay, network load, and energy consumption are the lowest compared with Epidemic algorithm, Spray and Wait algorithm, NSFRE algorithm, and FCNS algorithm.

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Intuitionistic Fuzzy Decision Making Based on OWA and Distance Measures

Communications in Computer and Information Science - Information Computing and Applications ◽

10.1007/978-3-642-34041-3_35 ◽

2012 ◽

pp. 243-248 ◽

Cited By ~ 1

Author(s):

Shouzhen Zeng ◽

Jiaqin Chen

Keyword(s):

Decision Making ◽

Distance Measures ◽

Fuzzy Decision Making ◽

Fuzzy Decision ◽

Intuitionistic Fuzzy

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Atanassov’s Intuitionistic Fuzzy Sets as a Promising Tool for Extended Fuzzy Decision Making Models

Fuzzy Sets and Their Extensions: Representation, Aggregation and Models - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-540-73723-0_17 ◽

2007 ◽

pp. 335-355 ◽

Cited By ~ 6

Author(s):

Eulalia Szmidt ◽

Janusz Kacprzyk

Keyword(s):

Decision Making ◽

Fuzzy Sets ◽

Intuitionistic Fuzzy Sets ◽

Fuzzy Decision Making ◽

Fuzzy Decision ◽

Intuitionistic Fuzzy ◽

Promising Tool ◽

Decision Making Models ◽

Atanassov’S Intuitionistic Fuzzy Sets

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Selection of resilient suppliers in manufacturing industries post-COVID-19: implications for economic and social sustainability in emerging economies

International Journal of Emerging Markets ◽

10.1108/ijoem-09-2021-1393 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Abhijit Majumdar ◽

Jeevaraj S ◽

Mathiyazhagan Kaliyan ◽

Rohit Agrawal

Keyword(s):

Decision Making ◽

Incomplete Information ◽

Emerging Economies ◽

Supplier Selection ◽

Fuzzy Decision Making ◽

Ideal Solution ◽

Fuzzy Decision ◽

Content Type ◽

Intuitionistic Fuzzy ◽

Selection Of

PurposeSelection of resilient suppliers has attracted the attention of researchers in the past one decade. The devastating effect of COVID-19 in emerging economies has provided great impetus to the selection of resilient suppliers. Under volatile and uncertain business scenarios, supplier selection is often done under imprecise and incomplete information, making the traditional decision-making methods ineffective. The purpose of this paper is to demonstrate the application of a fuzzy decision-making method for resilient supplier selection.Design/methodology/approachA group of three decision makers was considered for evaluating various alternatives (suppliers) based on their performance under different primary, sustainability and resilience criteria. Experts' opinion about each criterion and alternative was captured in linguistic terms and was modelled using fuzzy numbers. Then, an algorithm for solving resilient supplier selection problem based on the trapezoidal intuitionistic fuzzy technique for order preference by similarity to ideal solution (TrIFTOPSIS) was introduced and demonstrated through a case study.FindingsA closeness coefficient was used to rank the suppliers based on their distances from intuitionistic fuzzy positive-ideal solution and intuitionistic fuzzy negative-ideal solution. Finally, the proposed fuzzy decision making model was applied to a real problem of supplier selection in the clothing industry.Originality/valueThe presented TrIFTOPSIS model provides an effective route to prioritise and select resilient suppliers under imprecise and incomplete information. This is the first application of intuitionistic fuzzy multi-criteria decision-making for resilient supplier selection.

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Novel Intuitionistic Fuzzy Decision Making Models in the Framework of Decision Field Theory

Uncertainty and Operations Research - Several Intuitionistic Fuzzy Multi-Attribute Decision Making Methods and Their Applications ◽

10.1007/978-981-15-3891-9_4 ◽

2020 ◽

pp. 63-86

Author(s):

Zhinan Hao ◽

Zeshui Xu ◽

Hua Zhao

Keyword(s):

Field Theory ◽

Decision Making ◽

Fuzzy Decision Making ◽

Fuzzy Decision ◽

Decision Field Theory ◽

Intuitionistic Fuzzy ◽

Decision Making Models

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Novel Transformation Methods Among Intuitionistic Fuzzy Models for Mixed Intuitionistic Fuzzy Decision Making Problems

IEEE Access ◽

10.1109/access.2020.2998134 ◽

2020 ◽

Vol 8 ◽

pp. 100596-100607

Author(s):

Zhongming Liu ◽

Mingming Kong ◽

Li Yan

Keyword(s):

Decision Making ◽

Fuzzy Decision Making ◽

Fuzzy Decision ◽

Fuzzy Models ◽

Intuitionistic Fuzzy ◽

Transformation Methods

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Logarithmic Aggregation Operators of Picture Fuzzy Numbers for Multi-Attribute Decision Making Problems

Mathematics ◽

10.3390/math7070608 ◽

2019 ◽

Vol 7 (7) ◽

pp. 608 ◽

Cited By ~ 10

Author(s):

Saifullah Khan ◽

Saleem Abdullah ◽

Lazim Abdullah ◽

Shahzaib Ashraf

Keyword(s):

Decision Making ◽

Fuzzy Set ◽

Vital Role ◽

Aggregation Operators ◽

Weighted Averaging ◽

Fuzzy Decision Making ◽

Fuzzy Decision ◽

Picture Fuzzy Set ◽

Fuzzy Aggregation ◽

Multi Attribute Decision Making

The objective of this study was to create a logarithmic decision-making approach to deal with uncertainty in the form of a picture fuzzy set. Firstly, we define the logarithmic picture fuzzy number and define the basic operations. As a generalization of the sets, the picture fuzzy set provides a more profitable method to express the uncertainties in the data to deal with decision making problems. Picture fuzzy aggregation operators have a vital role in fuzzy decision-making problems. In this study, we propose a series of logarithmic aggregation operators: logarithmic picture fuzzy weighted averaging/geometric and logarithmic picture fuzzy ordered weighted averaging/geometric aggregation operators and characterized their desirable properties. Finally, a novel algorithm technique was developed to solve multi-attribute decision making (MADM) problems with picture fuzzy information. To show the superiority and the validity of the proposed aggregation operations, we compared it with the existing method, and concluded from the comparison and sensitivity analysis that our proposed technique is more effective and reliable.

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