Fuzzy TOPSIS and fuzzy COPRAS based multi-criteria decision making for hybrid wind farms

Dhiman, Harsh S.; Deb, Dipankar

doi:10.1016/j.energy.2020.117755

Cited by 121 publications

(58 citation statements)

References 25 publications

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“…Another essential novelty of this proposed model is applying the TOPSIS method to rank the alternatives. Even though there are various methods such as MARCOS, VIKOR, and MABAC that can be considered for this purpose, we suggest the TOPSIS method is more suitable as it identifies distances to both positive and negative ideal solutions (Rani et al 2020;Dhiman and Deb 2020). As a result, it is very helpful to reach more effective results (Rouyendegh et al 2020;Ziemba et al 2020).…”

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confidence: 99%

Fintech investments in European banks: a hybrid IT2 fuzzy multidimensional decision-making approach

et al. 2021

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Financial technology (Fintech) makes a significant contribution to the financial system by reducing costs, providing higher quality services and increasing customer satisfaction. Hence, new studies play an essential role to improve Fintech investments. This study evaluates Fintech-based investments of European banking services with an application of an original methodology that considers interval type-2 (IT2) fuzzy decision-making trial and evaluation laboratory and IT2 fuzzy TOPSIS models. Empirical findings are controlled for consistency by applying the VIKOR method. Moreover, we conduct a sensitivity analysis by considering six distinct cases. This study contributes to the existing literature by identifying the most important Fintech-based investment alternatives to improve the financial performance of European banks. Our empirical findings illustrate that results are coherent, reliable, and identify “competitive advantage” as the most important factor among Fintech-based determinants. Moreover, “payment and money transferring systems” are the most important Fintech-based investment alternatives. It is recommended that, among Fintech-based investments, European banks should mainly focus on payment and money transferring alternatives to attract the attention of customers and satisfy their expectations. This is also believed to have a positive impact on the ease of bank’ receivable collection. Another important point is that Fintech-based investments in money transferring systems could help to decrease costs.

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Fintech investments in European banks: a hybrid IT2 fuzzy multidimensional decision-making approach

et al. 2021

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“…In order to show the superiority of the proposed controller, this section will compare the performances with other existing techniques, such as famous fuzzy controller [68], and the singular perturbation method with high-gain feedback [51] shown as follows.…”

Section: Comparative Examples To Existing Approachesmentioning

confidence: 99%

Feedback Linearized Optimal Control Design for Quadrotor With Multi-Performances

Chen

2021

IEEE Access

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Design of tracking controller for quadrotor is an important issue for many engineering fields such as COVID-19 epidemic prevention, intelligent agriculture, military photography and rescue nowadays. This study applies the feedback linearized method and linear quadratic regulator (LQR) method using particle swarm optimization (PSO) to analysis and stabilize the highly nonlinear quadrotor system without applying any nonlinear function approximator that includes neural network approach and fuzzy approach. The article proposes a new method based on the firstly proposed convergence rate formula to achieve the optimal weighting matrices of LQR such that the composite controller can reduce the amplitudes of system control inputs. Determination of the LQR tuning parameters is conventionally achieved via trial and error approach. In addition to being very troublesome, it is difficult to find the globally best tuning matrices with LQR method. This article firstly uses the convergence rate formula of the nonlinear system as the fitness function of LQR approach by using PSO to take the place of the trial and error method. The generalities and implications of proposed approach are globally valid, whereas the Jacobian linearized approach is locally valid due to the Taylor expansion theorem. In addition to these two major achievements, the significant innovation of the proposed method is to possess "simultaneously" additional performances including the almost disturbance decoupling, input amplitude reduction, tuning parameter optimization and globally exponential stability performances. Comparative examples show that the convergence rate with our proposed optimal controller using the PSO algorithm is larger than the fuzzy method, and better than the singular perturbation method with high-gain feedback.INDEX TERMS Almost disturbance decoupling, COVID-19 epidemic prevention , feedback linearized approach, linear quadratic regulator, particle swarm optimization, quadrotor.

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“…Harish Garg and Nancy [44] proposed two algorithms based on COPRAS method and aggregation operators method to solve the decision-making problems based on possibility linguistic single-valued neutrosophic set information. Harsh S. Dhiman and Dipankar Deb [45] evaluated the sequencing of fuzzy COPRAS and fuzzy Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and applied them to select the best sites in three hybrid wind farms. Therefore, although COPRAS method has achieved good results, there is hardly any extension for MADM under probabilistic hesitant fuzzy environment.…”

Section: Introductionmentioning

confidence: 99%

Multi-Attribute Decision-Making Method Based Distance and COPRAS Method with Probabilistic Hesitant Fuzzy Environment

Song¹,

Chen²

2021

IJCIS

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As an extension of hesitant fuzzy set, the probabilistic hesitant fuzzy set (PHFS) can more accurately express the initial decision information given by experts, thus the decision method based on PHFS is more true and reliable. In this paper, multi-attribute decision-making (MADM) method is proposed under probabilistic hesitant fuzzy environment, which is based the new distance measures of probabilistic hesitant fuzzy elements (PHFEs) and the COmplex PRoportional ASsessment (COPRAS) method. Firstly, the existing problems of some distances are analyzed and we propose some new distance measures including new Hamming distance, new Euclidean distance and new generalized distance under probabilistic hesitant fuzzy environment. Secondly, a maximizing deviation method based on the new Hamming distance measure is proposed to obtain the attribute weights in probabilistic hesitant fuzzy information. Then, the COPRAS method is extended to solve MADM problems under probabilistic hesitant fuzzy environment. Finally, compared other methods, an example is given to demonstrate the effectiveness of the proposed method.

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Fuzzy TOPSIS and fuzzy COPRAS based multi-criteria decision making for hybrid wind farms

Cited by 121 publications

References 25 publications

Fintech investments in European banks: a hybrid IT2 fuzzy multidimensional decision-making approach

Fintech investments in European banks: a hybrid IT2 fuzzy multidimensional decision-making approach

Feedback Linearized Optimal Control Design for Quadrotor With Multi-Performances

Multi-Attribute Decision-Making Method Based Distance and COPRAS Method with Probabilistic Hesitant Fuzzy Environment

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