Complex intuitionistic fuzzy soft SWARA - COPRAS approach: An application of ERP software selection

Garg, Harish; Vimala, J.; Rajareega, S.; Preethi, D.; Pérez-Domínguez, Luis

doi:10.3934/math.2022327

Cited by 27 publications

(11 citation statements)

References 36 publications

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“…The SWARA approach has demonstrated its utility as a decision-making tool across various domains [63]. It has been effectively employed in diverse areas, such as enhancing decision-making quality through the incorporation of experts' evaluations of their ideas' reliability [64], addressing humanitarian supply chains [56], analyzing performance in hydropower plants [65], managing trade-off problems [66], evaluating the sustainability of railway systems [67], conducting analysis on the operation and implementation of BRT systems [68], examining ERP software [69], classifying the performance of regional transport infrastructures projects [70], assessing intellectual capital aspects in companies [71], studying bioenergy technology production [72], facilitating supplier selection [73], making solar panel selections [74], and determining suitable locations for logistics centers [75]. In this study, the SF-SWARA methodology is employed for criteria weighting.…”

Section: Spherical Fuzzy Swaramentioning

confidence: 99%

Strategies for Enhancing Industry 4.0 Adoption in East Africa: An Integrated Spherical Fuzzy SWARA-WASPAS Approach

Qiu¹,

Bouraima²,

Kiptum³

et al. 2023

JII

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Developed countries have successfully implemented various Industry 4.0 (I4.0) initiatives, showcasing their ability to reap the benefits of this new industrial revolution. Active pursuit of excellence in Industry 4.0 is evident in these nations. However, in Africa, many countries still lack a clear understanding of Industry 4.0, with some remaining trapped in Industry 1.0 and others facing challenges in transitioning to Industry 2.0. Moreover, a significant number of these African countries continue to grapple with limited access to reliable electricity. To address the issue, this study examines seven strategies identified as criteria for enhancing the adoption of Industry 4.0 within the East African Community (EAC). These strategies are derived from observations of Industry 4.0 initiatives implemented in developed countries. Subsequently, the criteria are used to evaluate and rank the level of Industry 4.0 adoption in two specific East African countries. To tackle the challenges of complex group decision-making, the study integrates the Weighted Aggregated Sum Product Assessment (WASPAS) technique with the Step-Wise Weight Assessment Ratio Analysis (SWARA) within a spherical fuzzy (SF) framework. The SF-SWARA approach is applied to determine the weight and importance of the criteria, while SF-WASPAS is employed to rank the countries based on the criteria weighted by SF-SWARA. According to the findings, it was revealed that education and training, research, development, and innovation, as well as public-private partnerships and policy innovation, are the three most influential strategies for significantly improving the adoption of Industry 4.0 within the East African community. Furthermore, the results indicate that Rwanda stands out as the leading country in terms of implementing these strategies to enhance the adoption of Industry 4.0 technology. To verify the reliability and suitability of the proposed methodology, a sensitivity analysis was conducted, which affirmed the stability and practicality of the suggested approach.

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Section: Spherical Fuzzy Swaramentioning

confidence: 99%

Strategies for Enhancing Industry 4.0 Adoption in East Africa: An Integrated Spherical Fuzzy SWARA-WASPAS Approach

Qiu¹,

Bouraima²,

Kiptum³

et al. 2023

JII

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“…Atanassov later conducted additional research to improve intuitionistic fuzzy set theory (IFST) [2,[6][7][8]. In recent years IFST has been increasingly used in applications of decision-making problems [9,10], medical diagnosis [11][12][13], software selection [14], environmental management [15], transport problems [16], predator prey [17], etc. Susanto et al [18] generated fuzzy interval data from crisp data using the Cheng et al [19] correlation method to determine the relationship between students' anxiety and mathematical self-efficacy, based on the concept of α-cut from a fuzzy set.…”

Section: Introductionmentioning

confidence: 99%

On Extended Lr-Norm-Based Derivatives to Intuitionistic Fuzzy Sets

Wungreiphi,

Mazarbhuiya,

Shenify

2023

Mathematics

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The study of differential equation theory has come a long way, with applications in various fields. In 1961, Zygmund and Calderón introduced the notion of derivatives to metric Lr, which proved to be better in applications than approximate derivatives. However, most of the studies available are on Fuzzy Set Theory. In view of this, intuitionistic fuzzy Lr-norm-based derivatives deserve study. In this study, the Lr-norm-based derivative for intuitionistic fuzzy number valued functions is introduced. Some of its basic properties are also discussed, along with numerical examples. The results obtained show that the proposed derivative is not dependent on the existence of the Hukuhara difference. Lastly, the Cauchy problem for the intuitionistic fuzzy differential equation is discussed.

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“…Atanassov later conducted additional research to improve on the IFS theory [2,[6][7][8]. Intuitionistic fuzzy set has better applications than that of classical fuzzy set theory in real life situations since IFS includes an additional information i.e., non-membership function and it has been utilised in numerous fields such as decision-making problems [9][10][11], medical diagnosis [12,13], software selection [14], environmental management [15], transport problem [16]. Susanto et al [17] generated fuzzy interval data from crisp data using Cheng et al [18] correlation method to determine the relationship between students' anxiety and mathematical self-efficacy, based on the concept of 𝛼-cut from a fuzzy set.…”

Section: Introductionmentioning

confidence: 99%

On Extending Lr-Norm Based Derivatives to Intuitionistic Fuzzy Set

Wungreiphi,

Mazarbhuiya,

Shenify

2023

Preprint

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Study of differential equation theory has come a long way with applications in the various fields. In 1961, Zygmund and Calderón introduced the notion of derivatives on metric Lr which proved to be better in applications than approximate derivatives. But most of the studies involved are on fuzzy set theory, so it seems likely that intuitionistic fuzzy Lr - norm - based derivatives deserve study. In the study, the fuzzy derivative is extended to intuitionistic fuzzy derivatives with respect.to Lr - norm - based derivatives using intuitionistic fuzzy number valued functions. The efficacy of the proposed method is established by proving the associated theorems along with numerical examples. Further, the Cauchy problem is also studied with respect to intuitionistic fuzzy setting.

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Complex intuitionistic fuzzy soft SWARA - COPRAS approach: An application of ERP software selection

Cited by 27 publications

References 36 publications

Strategies for Enhancing Industry 4.0 Adoption in East Africa: An Integrated Spherical Fuzzy SWARA-WASPAS Approach

Strategies for Enhancing Industry 4.0 Adoption in East Africa: An Integrated Spherical Fuzzy SWARA-WASPAS Approach

On Extended Lr-Norm-Based Derivatives to Intuitionistic Fuzzy Sets

On Extending Lr-Norm Based Derivatives to Intuitionistic Fuzzy Set

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