IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i7p3069-d1371386.html
   My bibliography  Save this article

Advanced Linguistic Complex T-Spherical Fuzzy Dombi-Weighted Power-Partitioned Heronian Mean Operator and Its Application for Emergency Information Quality Assessment

Author

Listed:
  • Yuqi Zang

    (School of Public Administration, Yanshan University, Qinhuangdao 066004, China)

  • Jiamei Zhao

    (School of Public Administration, Yanshan University, Qinhuangdao 066004, China)

  • Wenchao Jiang

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

  • Tong Zhao

    (College of Economics and Management, Shandong University of Science and Technology, Qingdao 266590, China)

Abstract

Against the background of a major change in the world unseen in a century, emergencies with high complexity and uncertainty have had serious impacts on economic security and sustainable social development, making emergency management an important issue that needs to be urgently resolved, and the quality assessment of emergency information is a key link in emergency management. To effectively deal with the uncertainty of emergency information quality assessment, a new fuzzy multi-attribute assessment method is proposed in this paper. First, we propose the linguistic complex T-spherical fuzzy set (LCT-SFS), which can deal with two-dimensional problems and cope with situations in which assessment experts cannot give quantitative assessments. Then, the advanced linguistic complex T-spherical fuzzy Dombi-weighted power-partitioned Heronian mean (ALCT-SFDWPPHM) operator, which incorporates the flexibility of Dombi operations, is proposed. The partitioned Heronian mean (PHM) operator can consider attribute partitioning and attribute correlation, the power average (PA) operator can eliminate the effect of evaluation singularities, and the advanced operator can circumvent the problem of consistent or indistinguishable aggregation results, which provides a strong comprehensive advantage in the evaluating information aggregation. Finally, a fuzzy multi-attribute assessment model is constructed by combining the proposed operator with the WASPAS method and applied to the problem of assessing the quality and sensitivity of emergency information; qualitative and quantitative comparison analyses are carried out. The results show the method proposed in this paper has strong feasibility and validity and can represent uncertainty assessment more flexibly while providing reasonable and reliable results. The method can provide new ideas and methods for the quality assessment of emergency information, and promoting sustainable, efficient, and high-quality development of emergency management.

Suggested Citation

  • Yuqi Zang & Jiamei Zhao & Wenchao Jiang & Tong Zhao, 2024. "Advanced Linguistic Complex T-Spherical Fuzzy Dombi-Weighted Power-Partitioned Heronian Mean Operator and Its Application for Emergency Information Quality Assessment," Sustainability, MDPI, vol. 16(7), pages 1-35, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:7:p:3069-:d:1371386
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/7/3069/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/7/3069/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Asima Razzaque & Abdul Razaq & Afifa Khalid & Ibtisam Masmali & Umer Shuaib & Ghaliah Alhamzi, 2023. "Selecting an Optimal Approach to Reduce Drivers of Climate Change in a Complex Intuitionistic Fuzzy Environment," Sustainability, MDPI, vol. 15(16), pages 1-25, August.
    2. Liangping Wu & Guiwu Wei & Jiang Wu & Cun Wei, 2020. "Some Interval-Valued Intuitionistic Fuzzy Dombi Heronian Mean Operators and their Application for Evaluating the Ecological Value of Forest Ecological Tourism Demonstration Areas," IJERPH, MDPI, vol. 17(3), pages 1-31, January.
    3. Kifayat Ullah & Zareena Kousar & Dragan Pamucar & Goran Jovanov & à ordje Vranješ & Amir Hussain & Zeeshan Ali & Ali Ahmadian, 2022. "Application of Hamacher Aggregation Operators in the Selection of the Cite for Pilot Health Project based on Complex T-spherical Fuzzy Information," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-13, September.
    4. Nagle, Tadhg & Redman, Tom & Sammon, David, 2020. "Assessing data quality: A managerial call to action," Business Horizons, Elsevier, vol. 63(3), pages 325-337.
    5. Mostafa K. El-Bably & Muhammad I. Ali & El-Sayed A. Abo-Tabl & Ching-Feng Wen, 2021. "New Topological Approaches to Generalized Soft Rough Approximations with Medical Applications," Journal of Mathematics, Hindawi, vol. 2021, pages 1-16, December.
    6. Yandong Wang & Teng Wang & Xinyue Ye & Jianqi Zhu & Jay Lee, 2015. "Using Social Media for Emergency Response and Urban Sustainability: A Case Study of the 2012 Beijing Rainstorm," Sustainability, MDPI, vol. 8(1), pages 1-17, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jiyong Ding & Juefang Cai & Guangxiang Guo & Chen Chen, 2018. "An Emergency Decision-Making Method for Urban Rainstorm Water-Logging: A China Study," Sustainability, MDPI, vol. 10(10), pages 1-21, September.
    2. Jia He & Miao Ma & Yuxuan Zhou & Miaoke Wang, 2023. "What We Have Learned about the Characteristics and Differences of Disaster Information Behavior in Social Media—A Case Study of the 7.20 Henan Heavy Rain Flood Disaster," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    3. Rizwan Muhammad & Yaolong Zhao & Fan Liu, 2019. "Spatiotemporal Analysis to Observe Gender Based Check-In Behavior by Using Social Media Big Data: A Case Study of Guangzhou, China," Sustainability, MDPI, vol. 11(10), pages 1-30, May.
    4. Asima Razzaque & Ibtisam Masmali & Rimsha Hassan & Umer Shuaib & Abdul Razaq & Ghaliah Alhamzi & Saima Noor, 2023. "A Modern Strategy for the Selection of Efficacious Solar Panels at Industrial Level under an Interval-Valued Picture Fuzzy Set Hybrid Environment," Energies, MDPI, vol. 16(14), pages 1-22, July.
    5. Jianping Lu & Tingting He & Guiwu Wei & Jiang Wu & Cun Wei, 2020. "Cumulative Prospect Theory: Performance Evaluation of Government Purchases of Home-Based Elderly-Care Services Using the Pythagorean 2-tuple Linguistic TODIM Method," IJERPH, MDPI, vol. 17(6), pages 1-21, March.
    6. Lihua Liu & Jing Huang & Huimin Wang, 2020. "Visibility Graph Power Geometric Aggregation Operator and Its Application in Water, Energy and Food Efficiency Evaluation," IJERPH, MDPI, vol. 17(11), pages 1-16, May.
    7. Mahsa Dalili Shoaei & Meisam Dastani, 2020. "The Role of Twitter During the COVID-19 Crisis: A Systematic Literature Review," Acta Informatica Pragensia, Prague University of Economics and Business, vol. 2020(2), pages 154-169.
    8. Barry E. Prentice & Yui-Yip Lau & Adolf K. Y. Ng, 2021. "Transport Airships for Scheduled Supply and Emergency Response in the Arctic," Sustainability, MDPI, vol. 13(9), pages 1-17, May.
    9. Brave, Scott A. & Butters, R. Andrew & Fogarty, Michael, 2022. "The perils of working with big data, and a SMALL checklist you can use to recognize them," Business Horizons, Elsevier, vol. 65(4), pages 481-492.
    10. Mahsa Dalili Shoaei & Meisam Dastani, . "The Role of Twitter During the COVID-19 Crisis: A Systematic Literature Review," Acta Informatica Pragensia, Prague University of Economics and Business, vol. 0.
    11. Mingyun Gu & Haixiang Guo & Jun Zhuang & Yufei Du & Lijin Qian, 2022. "Social Media User Behavior and Emotions during Crisis Events," IJERPH, MDPI, vol. 19(9), pages 1-21, April.
    12. Jedsada Phengsuwan & Tejal Shah & Nipun Balan Thekkummal & Zhenyu Wen & Rui Sun & Divya Pullarkatt & Hemalatha Thirugnanam & Maneesha Vinodini Ramesh & Graham Morgan & Philip James & Rajiv Ranjan, 2021. "Use of Social Media Data in Disaster Management: A Survey," Future Internet, MDPI, vol. 13(2), pages 1-24, February.
    13. Lida Huang & Panpan Shi & Haichao Zhu & Tao Chen, 2022. "Early detection of emergency events from social media: a new text clustering approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 851-875, March.
    14. Li Wang & Myagmarsuren Damdinsuren & Yuanhao Qin & Ganzorig Gonchigsumlaa & Yadmaa Zandan & Zilin Zhang, 2024. "Forest Wellness Tourism Development Strategies Using SWOT, QSPM, and AHP: A Case Study of Chongqing Tea Mountain and Bamboo Forest in China," Sustainability, MDPI, vol. 16(9), pages 1-25, April.
    15. Zheye Wang & Xinyue Ye & Ming-Hsiang Tsou, 2016. "Spatial, temporal, and content analysis of Twitter for wildfire hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(1), pages 523-540, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:7:p:3069-:d:1371386. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.