Application of normal wiggly dual hesitant fuzzy sets to site selection for hydrogen underground storage

Narayanamoorthy, Samayan; Ramya, L. Susana; Băleanu, Dumitru; Kureethara, Joseph Varghese; Annapoorani, V.

doi:10.1016/j.ijhydene.2019.09.103

Cited by 50 publications

(14 citation statements)

References 35 publications

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“…Śmierzchalska et al [29], Narayanamoorthy et al [30], Deveci [31] relied on analytic hierarchy process (AHP) and fuzzy set to locate underground hydrogen storage tanks. Yang and Jiang [32] fully considered operation cost and demand uncertainty in an attempt to determine the location and volume of HRSs.…”

Section: Lewandowska-mentioning

confidence: 99%

Location and Volume Determination of Hydrogen Refueling Stations Based on Oligopoly Equilibrium

Huang¹,

Liu²,

Zhao³

et al. 2021

IJHT

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The energy transformation in China is picking up speed, thanks to the mass development and utilization of various clean energies. As an emerging clean energy, hydrogen energy has been highly recognized, and gradually introduced to industry and transport. As a result, hydrogen fuel cell vehicles (HFCVs) attract a growing attention from the government and the public. However, the is a severe lack of hydrogen refueling stations (HRSs). Therefore, this paper explores into the determination of HRS location and volume. The HRS investment market was treated as an oligopoly market, due to the huge investment and few investors of HRSs. To ensure the long-term balanced development of hydrogenation, it is assumed that all investors fully analyze the possible investment behaviors of competitors and HFCV driver preference before making any investment decision. On this basis, a multi-agent optimization model was established to determine the location and volume of HRSs. The results show that, to avoid supply-demand imbalance induced by information asymmetry, the HRSs should be constructed along with an intelligent software platform, which provides HFCV drivers with rich information on hydrogenation service. Our model helps investors determine the core issues of the HRS, including location, size, and supply scale.

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Section: Lewandowska-mentioning

confidence: 99%

Location and Volume Determination of Hydrogen Refueling Stations Based on Oligopoly Equilibrium

Huang¹,

Liu²,

Zhao³

et al. 2021

IJHT

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“…Recently, Lu et al [33] presented a Pythagorean hesitant fuzzy bidirectional projection (PHFBP) method and Narayanamoorthy et al [25] put forward a normal wiggly dual hesitant fuzzy VIKOR (NWDHFV) method to solve the MADM problems. In this part, we compare the proposed method with these approaches by calculating the final ranking results.…”

Section: B Comparisons Analysismentioning

confidence: 99%

“…Inspired by NWHFSs, Liu et al [24] derived a new information representation mechanism, normal wiggly hesitant fuzzy linguistic term sets (NWHFLTSs). Besides, Narayanamoorthy et al [25] proposed the normal wiggly dual hesitant fuzzy sets (NWDHFSs) to solve the MADM problem.…”

Section: Introductionmentioning

confidence: 99%

A Normal Wiggly Pythagorean Hesitant Fuzzy Bidirectional Projection Method and Its Application in EV Power Battery Recycling Mode Selection

et al. 2020

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As a useful mathematical tool to solve the multi-attribute decision-making (MADM) problems, Pythagorean hesitant fuzzy set (PHFS) permits decision makers (DMs) to give several evaluation values in membership and non-membership degrees. Given that much cognitive preferences of DMs may be hidden in the original evaluation information and cannot be fully expressed, we propose the normal wiggly Pythagorean hesitant fuzzy set (NWPHFS) to comprehensively mine the uncertain preferences from original Pythagorean hesitant fuzzy information. NWPHFS can help DMs more accurately express their potential valuable preferences for objects while giving the original evaluation information. We put forward some operational laws and comparison rules of NWPHFS, then present the formulas of projection and bidirectional projection measures between normal wiggly Pythagorean hesitant fuzzy elements (NWPHFEs). Furthermore, we propose the normal wiggly Pythagorean hesitant fuzzy bidirectional projection (NWPHFBP) method and its specific application steps to solve MADM problems. The proposed approach can accurately reflect the projection relationship between the alternatives evaluated and ideal solutions by the NWPHF information. Through constructing a reasonable criteria system, we apply the NWPHFBP method to the issue of electric vehicle (EV) power battery recycling mode selection. Finally, we conduct the sensitivity analysis and verify the effectiveness of the proposed method by comparisons with other approaches. INDEX TERMS Normal wiggly Pythagorean hesitant fuzzy set (NWPHFS), multi-attribute decision-making (MADM), bidirectional projection, EV power battery recycling mode.

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“…According to this line, in order to reflect the cognition and hesitation of DMs in real world context more realistic, Ren et al [7] presented the normal wiggly hesitant fuzzy set (NWHFS), which maintains the original evaluation information in HFEs and dig the potential uncertain information automatically. Lately, Narayanamoorthy et al [8] extended the NWHFS into the normal wiggly dual hesitant fuzzy sets (NWD-HFS). As a matter of fact, the evaluation results will be more convinced by taking both original evaluations and concealed information into account.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Criteria Group Decision-Making Approach Based on Improved BWM and MULTIMOORA with Normal Wiggly Hesitant Fuzzy Information

Yang¹,

Wang²,

Peng³

et al. 2020

IJCIS

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Multi-criteria group decision-making (MCGDM) problems are widespread in real life. However, most existing methods, such as hesitant fuzzy set (HFS), hesitant fuzzy linguistic term set (HFLTS) and inter-valued hesitant fuzzy set (IVHFS) only consider the original evaluation data provided by experts but fail to dig the concealed valuable information. The normal wiggly hesitant fuzzy set (NWHFS) is a useful technique to depict experts' complex evaluation information toward MCGDM issues. In this paper, on the basis of the score function of NWHFS, we propose the linear best-worst method (BWM)-based weight-determining models with normal wiggly hesitant fuzzy (NWHF) information to compute the optimal weights of experts and criteria. In addition, we present some novel distance measures between NWHFSs and discuss their properties. After fusing the individual evaluation matrices, the NWHF-ranking position method is put forward to develop the group MULTIMOORA method, which can be determined by the final decision results. Moreover, we investigate the Spring Festival travel rush phenomenon deeply and apply our methodology to solve the train selection problem during the Spring Festival period. Finally, the applicability and superiority of the proposed approach is demonstrated by comparing with traditional methods based on two aggregation operators of NWHFSs.

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Application of normal wiggly dual hesitant fuzzy sets to site selection for hydrogen underground storage

Cited by 50 publications

References 35 publications

Location and Volume Determination of Hydrogen Refueling Stations Based on Oligopoly Equilibrium

Location and Volume Determination of Hydrogen Refueling Stations Based on Oligopoly Equilibrium

A Normal Wiggly Pythagorean Hesitant Fuzzy Bidirectional Projection Method and Its Application in EV Power Battery Recycling Mode Selection

A Multi-Criteria Group Decision-Making Approach Based on Improved BWM and MULTIMOORA with Normal Wiggly Hesitant Fuzzy Information

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