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An Extended LBWA Framework in Picture Fuzzy Environment Using Actual Score Measures Application in Social Enterprise Systems

Author

Listed:
  • Sanjib Biswas

    (Calcutta Business School, India)

  • Shuvendu Majumder

    (Calcutta Business School, India)

  • Dragan Pamucar

    (University of Defence in Belgrade, Serbia)

  • Suman Kumar Dawn

    (Calcutta Business School, India)

Abstract

Level-based weight assessment (LBWA) model is a recently introduced algorithm for determining criteria weights for multi-criteria group decision making. In this paper, the authors aim to extend the basic framework of LBWA in the picture fuzzy (PF) environment using actual score (AS) measures of the picture fuzzy numbers (PFN). They apply this extended framework in addressing a real-life problem pertaining to social entrepreneurship or social entrepreneurs (SE) in the context of COVID-19. They endeavor to identify the critical challenging factors of SE in the new normal. They list the challenges as revealed through literature review and take the opinion of a group of SEs using PF linguistic scale. They then apply the proposed framework, actual score-based picture fuzzy LBWA. They notice that ability to withstand disruption risk and show resilience and fund availability and creation of a supporting business ecosystems are the major challenges that SEs face in the new normal. They carry out validity checking and sensitivity analysis, which show reasonable consistency and stability in the result.

Suggested Citation

  • Sanjib Biswas & Shuvendu Majumder & Dragan Pamucar & Suman Kumar Dawn, 2021. "An Extended LBWA Framework in Picture Fuzzy Environment Using Actual Score Measures Application in Social Enterprise Systems," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 17(4), pages 37-68, October.
    • Handle: RePEc:igg:jeis00:v:17:y:2021:i:4:p:37-68
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    Cited by:

    1. Hari Darshan Arora & Anjali Naithani, 2023. "Some distance measures for triangular fuzzy numbers under technique for order of preference by similarity to ideal solution environment," OPSEARCH, Springer;Operational Research Society of India, vol. 60(2), pages 701-719, June.
    2. Katarzyna Pawlewicz & Iwona Cieślak, 2022. "The Use of Level Based Weight Assessment (LBWA) for Evaluating Public Participation on the Example of Rural Municipalities in the Region of Warmia and Mazury," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    3. Yakup Çelikbilek & Sarbast Moslem, 2023. "A grey multi criteria decision making application for analyzing the essential reasons of recurrent lane change," OPSEARCH, Springer;Operational Research Society of India, vol. 60(2), pages 916-941, June.
    4. Sibnath Deb & Samarjit Kar & Shayana Deb & Sanjib Biswas & Aehsan Ahmad Dar & Tusharika Mukherjee, 2022. "A Cross-Sectional Study on Mental Health of School Students during the COVID-19 Pandemic in India," Data, MDPI, vol. 7(7), pages 1-27, July.
    5. Engin Çakır & Gökhan Akel, 2022. "Prioritization of the Theme Park Satisfaction Criteria with Multi-Criteria Decision-Making Method: Level Based Weight Assessment Model," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 10(2), pages 105-126, December.

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