Intuitionistic fuzzy control of twin rotor multiple input multiple output systems

Castillo, Oscar; Kutlu, Fatih; Atan, Özkan

doi:10.3233/jifs-179451

Cited by 25 publications

(16 citation statements)

References 26 publications

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“…(1 3.7 7. on criteria appear to be consistent, and the calculation results are shown in Tables 13,14,15,16,17,18,19,20,21,22,23,24 and 25. The fuzzy weight vectors are calculated by the trapezoidal fuzzy numbers obtained from the comparison matrix of projects with respect to the criteria and the weight values of the alternative projects are determined for each criterion. The weight values obtained for alternative projects under the criteria are combined with the weight values of the criteria and the general priority values are calculated for alternative projects (Table 27).…”

Section: An Application: Solar Energy Plant Project Selectionsupporting

confidence: 54%

“…HFSs, which are extension of fuzzy sets, have been used in different scientific studies along with other fuzzy logic extensions (type-2, intuitionistic, neutrosophic). The use of HFS in various interdisciplinary research fields (Automation control system, Computer science, Engineering, Mathematics, Operations research management science) proves that it is an important application tool [19][20][21].…”

Section: Hesitant Fuzzy Sets and Linguistic Termsmentioning

confidence: 99%

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Solar energy plant project selection with AHP decision-making method based on hesitant fuzzy linguistic evaluation

Çoban

2020

Complex Intell. Syst.

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Increased energy demand is expected to be met by reliable and continuous energy sources. Renewable energy which is obtained from nature and can continuously reload itself from natural sources is a new generation energy type. The sun, which is the main source of renewable energies and produces heat and electricity by direct and indirect methods, is an important renewable energy source. The installation of solar energy systems takes place under the basic technical, economic and political factors. Alternative solar energy plant projects are evaluated linguistically under the main criteria based on the knowledge and experience of the experts. Hesitant fuzzy linguistic terms are used to incorporate the uncertain and hesitant expressions into the decision-making process. The decision-making process that takes place with hesitant linguistic expressions in multiple sub-criteria is based on the AHP model. The inclusion of hesitant statements in the decision-making process with the AHP model enables more realistic choices among the alternatives. System technology (0.18), energy policy (0.15) and energy price change (0.13) appear as the most important factors in the pairwise comparison of the factors based on hesitant fuzzy linguistic evaluations. The results coincide with the need for high efficiency in solar energy systems, the importance of governmental supportive policies and the effects of price competition in the energy sector. Also, the closeness of the overall priority values of all projects (0.189, 0.23, 0.287, 0.135, 0.158) indicates that the decision makers take into account the effective factors.

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Section: An Application: Solar Energy Plant Project Selectionsupporting

confidence: 54%

Section: Hesitant Fuzzy Sets and Linguistic Termsmentioning

confidence: 99%

Solar energy plant project selection with AHP decision-making method based on hesitant fuzzy linguistic evaluation

Çoban

2020

Complex Intell. Syst.

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“…Also, we will define some more generalized algorithms to solve more complex problems such as brain hemorrhage, healthcare, nonlinear systems, control systems, and others. [47][48][49][50][51][52][53]…”

Section: Comparative Studiesmentioning

confidence: 99%

A new possibility degree measure for interval‐valued q‐rung orthopair fuzzy sets in decision‐making

Garg

2020

Int J Intell Syst

112

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“…For solving such problems, many scholars have proposed some feasible multi-attribute decision models and applied them to the practice activity. Since Zadeh 1 first proposed the definition of fuzzy set (FSs) and used it to describe the uncertainty and fuzziness, which indicates how much an element belongs to a collection by using the value on [0,1], different extension forms of FSs have been put forward successively, such as intuitionistic FSs, 2,3 type-2 FSs, 4,5 and hesitant fuzzy sets (HFSs). 6,7 Chief of all, HFSs proposed by Torra 6 allows a couple of possible values in [0,1] to indicate the degree to which an element belongs to a set.…”

Section: Introductionmentioning

confidence: 99%

A normal wiggly hesitant fuzzy MABAC method based on CCSD and prospect theory for multiple attribute decision making

Лю

Zhang

2020

Int J Intell Syst

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Normal wiggly hesitant fuzzy set (NWHFS) is a new fuzzy information form to help decision makers (DMs) express their evaluations, which can further dig the potential uncertain information hidden in the original data given by the DMs. Firstly, we define a new distance measure and new operational laws of NWHFSs. Then, for the situation where attribute weights are completely unknown, we propose an extended CCSD method to produce them objectively, which comprehensively uses standard deviation (SD) and correlation coefficient (CC). What's more, we introduce the MABAC (multiattributive border approximation area comparison) method, which takes the distance between alternatives and the border approximation area (BAA) into consideration for handling the complex and uncertain decision-making problems. Meanwhile, we combine the MABAC method with prospect theory (PT), which considers DMs' psychological behavior, and propose a new NWHF-CCSD-PT-MABAC method to cope with the multi-attribute decision making problems under normal wiggly hesitant fuzzy environment. Lastly, we illustrate the validity and advantages of the proposed method through an example of college book supplier selection.

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Intuitionistic fuzzy control of twin rotor multiple input multiple output systems

Cited by 25 publications

References 26 publications

Solar energy plant project selection with AHP decision-making method based on hesitant fuzzy linguistic evaluation

Solar energy plant project selection with AHP decision-making method based on hesitant fuzzy linguistic evaluation

A new possibility degree measure for interval‐valued q‐rung orthopair fuzzy sets in decision‐making

A normal wiggly hesitant fuzzy MABAC method based on CCSD and prospect theory for multiple attribute decision making

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