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A Fuzzy AHP-Fuzzy TOPSIS Urged Baseline Aid for Execution Amendment of an Online Food Delivery Affability

Author

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  • Harshitha Urs Ajjipura Shankar

    (Department of Mathematics, Reva University, Bangalore 560064, India)

  • Udaya Kumara Kodipalya Nanjappa

    (Department of Mathematics, Reva University, Bangalore 560064, India)

  • M. D. Alsulami

    (Mathematics Department, College of Sciences and Arts at Alkamil, University of Jeddah, Jeddah 21589, Saudi Arabia)

  • Ballajja C. Prasannakumara

    (Department of Studies in Mathematics, Davangere University, Davangere 577002, India)

Abstract

The increased demand for this form of food delivery has been expected to drastically alter restaurant patrons’ dining habits. As people have been forced to stay indoors to prevent the virus from spreading, food delivery services over the internet are in high demand. As established in this study, the planned ideal is a good executive implementation for online meal delivery services. Food delivery services are rapidly growing in India, opening up several opportunities for a wide range of online food delivery (OFD) platforms while also generating a competitive commercial sector. Following that, the fuzzy technique for order performance by similarity to ideal solution method (FTOPSIS) is used to rank online food delivery (OFD) enterprises based on the characteristics chosen. In this paper, we study the present multi-criteria decision-analysis (MCDA) paradigm based on the fuzzy analytic hierarchy process (FAHP) and the fuzzy technique for order performance by similarity to ideal solution (FTOPSIS) method to achieve the goal. After that, a hierarchy multiple criteria decision-analysis (MCDA) model based on fuzzy sets theory is introduced to deal with the online food delivery Service in the chain system. The fuzzy analytic hierarchy process (FAHP) is a fuzzy set theory technique for generating criteria weights, which are then used to interpret expert phonological evaluation statements.

Suggested Citation

  • Harshitha Urs Ajjipura Shankar & Udaya Kumara Kodipalya Nanjappa & M. D. Alsulami & Ballajja C. Prasannakumara, 2022. "A Fuzzy AHP-Fuzzy TOPSIS Urged Baseline Aid for Execution Amendment of an Online Food Delivery Affability," Mathematics, MDPI, vol. 10(16), pages 1-24, August.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:16:p:2930-:d:888079
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    as
    1. Erfan Babaee Tirkolaee & Zahra Dashtian & Gerhard-Wilhelm Weber & Hana Tomaskova & Mehdi Soltani & Nasim Sadat Mousavi, 2021. "An Integrated Decision-Making Approach for Green Supplier Selection in an Agri-Food Supply Chain: Threshold of Robustness Worthiness," Mathematics, MDPI, vol. 9(11), pages 1-30, June.
    2. Badri, Masood A., 2001. "A combined AHP-GP model for quality control systems," International Journal of Production Economics, Elsevier, vol. 72(1), pages 27-40, June.
    3. Prakash, Chandra & Barua, M.K., 2016. "An analysis of integrated robust hybrid model for third-party reverse logistics partner selection under fuzzy environment," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 63-81.
    4. Hung‐Hao Chang & Chad D. Meyerhoefer, 2021. "COVID‐19 and the Demand for Online Food Shopping Services: Empirical Evidence from Taiwan," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 448-465, March.
    5. Bana e Costa, Carlos A. & Vansnick, Jean-Claude, 2008. "A critical analysis of the eigenvalue method used to derive priorities in AHP," European Journal of Operational Research, Elsevier, vol. 187(3), pages 1422-1428, June.
    6. Wang, Ying-Ming & Luo, Ying & Hua, Zhongsheng, 2008. "On the extent analysis method for fuzzy AHP and its applications," European Journal of Operational Research, Elsevier, vol. 186(2), pages 735-747, April.
    7. Chang, Yu-Hern & Yeh, Chung-Hsing, 2002. "A survey analysis of service quality for domestic airlines," European Journal of Operational Research, Elsevier, vol. 139(1), pages 166-177, May.
    8. Chang, Yu-Hern & Yeh, Chung-Hsing & Wang, Shih-Yi, 2007. "A survey and optimization-based evaluation of development strategies for the air cargo industry," International Journal of Production Economics, Elsevier, vol. 106(2), pages 550-562, April.
    9. Ratapol Wudhikarn, 2015. "An approach to enhancing the human capital of enterprises associated with cooperative education," International Journal of Learning and Intellectual Capital, Inderscience Enterprises Ltd, vol. 12(1), pages 61-81.
    10. Scott R Baker & Robert A Farrokhnia & Steffen Meyer & Michaela Pagel & Constantine Yannelis & Jeffrey Pontiff, 0. "How Does Household Spending Respond to an Epidemic? Consumption during the 2020 COVID-19 Pandemic," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 834-862.
    11. Huang, Chi-Cheng & Chu, Pin-Yu & Chiang, Yu-Hsiu, 2008. "A fuzzy AHP application in government-sponsored R&D project selection," Omega, Elsevier, vol. 36(6), pages 1038-1052, December.
    12. Chan, Felix T.S. & Kumar, Niraj, 2007. "Global supplier development considering risk factors using fuzzy extended AHP-based approach," Omega, Elsevier, vol. 35(4), pages 417-431, August.
    13. Ilija Tanackov & Ibrahim Badi & Željko Stević & Dragan Pamučar & Edmundas Kazimieras Zavadskas & Romualdas Bausys, 2022. "A Novel Hybrid Interval Rough SWARA–Interval Rough ARAS Model for Evaluation Strategies of Cleaner Production," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    14. Yeo, Vincent Cheow Sern & Goh, See-Kwong & Rezaei, Sajad, 2017. "Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services," Journal of Retailing and Consumer Services, Elsevier, vol. 35(C), pages 150-162.
    15. Arunodaya Raj Mishra & Pratibha Rani & Raghunathan Krishankumar & Edmundas Kazimieras Zavadskas & Fausto Cavallaro & Kattur S. Ravichandran, 2021. "A Hesitant Fuzzy Combined Compromise Solution Framework-Based on Discrimination Measure for Ranking Sustainable Third-Party Reverse Logistic Providers," Sustainability, MDPI, vol. 13(4), pages 1-24, February.
    16. Büyüközkan, Gülçin & Feyzioglu, Orhan & Nebol, Erdal, 2008. "Selection of the strategic alliance partner in logistics value chain," International Journal of Production Economics, Elsevier, vol. 113(1), pages 148-158, May.
    17. Charlene Li & Miranda Mirosa & Phil Bremer, 2020. "Review of Online Food Delivery Platforms and their Impacts on Sustainability," Sustainability, MDPI, vol. 12(14), pages 1-17, July.
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