Type-2 intuitionistic fuzzy matrix games based on a new distance measure: Application to biogas-plant implementation problem

Karmakar, Shuvasree; Seikh, Mijanur Rahaman; Castillo, Oscar

doi:10.1016/j.asoc.2021.107357

Cited by 45 publications

(23 citation statements)

References 33 publications

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“…There are various studies in the literature using the type-2 fuzzy method. For instance, the type-2 fuzzy method has been applied in: α-planes optimized in the integration process (Ontiveros-Robles et al 2021b ), implementation of a biogas plant (Karmakar et al 2021 ), medical device selection problems (Tolga et al 2020 ), medical diagnosis problems (Ontiveros-Robles et al 2021a ; Ontiveros-Robles and Melin 2020 ), human resource management (Abdullah and Zulkifli 2015 ), operational performance of some transportation systems (Bakir et al 2020 ), a green supplier selection problem (Mousavi et al 2020 ), type-2 fuzzy model design (Moreno et al 2020 ), occupational safety risk performance in industries (Jana et al 2019 ), gravitational search algorithms (Olivas et al 2019 ), and another type-2 fuzzy logic application (Mittal et al 2020 ).…”

Section: Literature Reviewmentioning

confidence: 99%

A novel depreciation approach in an uncertain environment: interval type-2 fuzzy sets in the maritime industry

Akan

Kiracı

2022

Soft Comput

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This study aims to propose a novel model for the determination of depreciation in an environment of uncertainty. In the study, amortization methods were modified through interval type-2 fuzzy, and a new approach was proposed to help investors make decisions in an environment of cash flow uncertainty. We provide options among different depreciation alternatives for the future investment decisions of maritime companies through the revision of the straight-line depreciation method and the double-declining balance depreciation method. The fuzzy depreciation alternatives we suggest in our study are not only suitable for maritime companies, but also companies in different industries.

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Section: Literature Reviewmentioning

confidence: 99%

A novel depreciation approach in an uncertain environment: interval type-2 fuzzy sets in the maritime industry

Akan

Kiracı

2022

Soft Comput

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“…Game theory is used in increasingly more diverse scenarios and applications. For example, game theory has been used to determine the market share of competitors in the telecommunication industry [ 59 ], or implementation and construction of biogas plants [ 60 ]. In some applications, payoffs of matrix games are constructed to contain fuzzy elements, which, it is argued, makes the modelled scenarios more realistic [ 61 , 62 ].…”

Section: Introductionmentioning

confidence: 99%

Game Theory in Defence Applications: A Review

Rajagopalan

Skvortsov

et al. 2022

Sensors

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This paper presents a succinct review of attempts in the literature to use game theory to model decision-making scenarios relevant to defence applications. Game theory has been proven as a very effective tool in modelling the decision-making processes of intelligent agents, entities, and players. It has been used to model scenarios from diverse fields such as economics, evolutionary biology, and computer science. In defence applications, there is often a need to model and predict the actions of hostile actors, and players who try to evade or out-smart each other. Modelling how the actions of competitive players shape the decision making of each other is the forte of game theory. In past decades, there have been several studies that applied different branches of game theory to model a range of defence-related scenarios. This paper provides a structured review of such attempts, and classifies existing literature in terms of the kind of warfare modelled, the types of games used, and the players involved. After careful selection, a total of 29 directly relevant papers are discussed and classified. In terms of the warfares modelled, we recognise that most papers that apply game theory in defence settings are concerned with Command and Control Warfare, and can be further classified into papers dealing with (i) Resource Allocation Warfare (ii) Information Warfare (iii) Weapons Control Warfare, and (iv) Adversary Monitoring Warfare. We also observe that most of the reviewed papers are concerned with sensing, tracking, and large sensor networks, and the studied problems have parallels in sensor network analysis in the civilian domain. In terms of the games used, we classify the reviewed papers into papers that use non-cooperative or cooperative games, simultaneous or sequential games, discrete or continuous games, and non-zero-sum or zero-sum games. Similarly, papers are also classified into two-player, three-player or multi-player game based papers. We also explore the nature of players and the construction of payoff functions in each scenario. Finally, we also identify gaps in literature where game theory could be fruitfully applied in scenarios hitherto unexplored using game theory. The presented analysis provides a concise summary of the state-of-the-art with regards to the use of game theory in defence applications and highlights the benefits and limitations of game theory in the considered scenarios.

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“…Noticeably, FPRs and MPRs only employ an exact numeric value to denote the membership degree of pairwise judgment, which limits the applications owing to other types of information extensive exist in MCDM problems. It is very necessary to expend fuzzy information into other forms, such as, intuitionistic fuzzy [5,15], Type-2 fuzzy [7,21] and linguistic [6,42]. To overcome the limitations of fuzzy sets when dealing with vague and imprecise information, Torra and Narukawa [29] developed the concept of hesitant fuzzy sets (HFSs).…”

Section: Introductionmentioning

confidence: 99%

Group decision making method with hesitant fuzzy preference relations based on additive consistency and consensus

Niu²,

Chen

et al. 2022

Complex Intell. Syst.

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To address the situation where the multi-criteria decision making (MCDM) has problems with hesitant fuzzy preference relations (HFPRs), this paper develops a group decision making method considering the additive consistency and consensus simultaneously. First, a new normalized method for HFPRs is developed to address the situation where the evaluation information has different number of elements. Second, for improving the unacceptable consistent HFPRs, an algorithm is designed to derive acceptable consistent HFPRs. The main characteristic of the design algorithm is that the values that need to be revised are identified first, and then design the local adjustment process. Third, an algorithm is developed to obtain a group of normalized HFPRs (NHFPRs), considering the additive consistency of HFPRs. Fourth, for improving the individual consistency and group consensus simultaneously, an algorithm is designed to obtain a group of HFPRs with acceptable consistency and consensus. Finally, the method of determining the decision makers’ weights and a procedure for MCDM problems with HFPRs are given. An illustrative example in conjunction with comparative analysis is used to demonstrate the proposed method which is feasible and efficient for practical MCDM problems.

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Type-2 intuitionistic fuzzy matrix games based on a new distance measure: Application to biogas-plant implementation problem

Cited by 45 publications

References 33 publications

A novel depreciation approach in an uncertain environment: interval type-2 fuzzy sets in the maritime industry

A novel depreciation approach in an uncertain environment: interval type-2 fuzzy sets in the maritime industry

Game Theory in Defence Applications: A Review

Group decision making method with hesitant fuzzy preference relations based on additive consistency and consensus

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