Special Session: Data-Driven Fuzzy Decision-making & Optimization: Climate Economics and Meteorological Hazards Risk Synthesis Evaluation

Organizers: Zaiwu Gong, Guo Wei, Kecheng Liu, Zhijie Sasha Dong, Ge Gao and Mei Cai
This session has been accepted for the FUZZ-IEEE 2020 conference which will be held as part of the 2020 IEEE WCCI in Glasgow, UK at July 19-24, 2020.

Objectives and Scope

Large amounts of interconnected data, vast computational and communicational powers and speed are making a profound impact on how decision makers organize, compete, and ultimately deliver great scientific and economic value. Big data analytics and data-driven modeling become buzzwords in recent years in the social sciences and mathematical methods, and particularly provide a focal point for new developments in the field of hazards risk synthesize evaluation. Fuzzy decision-making and optimization are experiencing a gradual but substantial change in moving away from traditional data analytics to data-driven modeling. It provides a fascinating insight into how data and analytics can support decision-making.

In order to reduce the losses incurred from weather-related disasters, to accomplish the sustainable development goals and human development objectives, a number of analytical techniques are invented to perform risk analysis. Climate and meteorological data contain a wealth of applications and research value, and data-driven fuzzy decision-making and optimization methods provide effective approaches to hazards risk synthesize evaluation. Uncertainty quantification of meteorological hazards involves machine/statistical learning, pattern extracting on the behaviors of uncertain events from complex data. Non-traditional data processing methods and techniques need to be promoted to assist data-driven fuzzy decision-making when placed within the new information environment.

Above all, the importance of data-driven fuzzy decision-making and optimization has been paramount in addressing problems related to the climate economics and meteorological hazards risk synthesize evaluation.

The above reasons stimulate our proposal to organize a Special Session on Data-Driven Fuzzy Decision-making & Optimization: Climate Economics and Meteorological Hazards Risk Synthesis Evaluation.

The special session seeks contributions from a wide range of scholars and practitioners from various disciplines including but not limited to decision science, economics, management science, operations research applied meteorology, and applied statistics, emphasizing equally on both the theoretical methods and application aspects. Methodological cross-innovation, empirical applications in the context of climate change economics, decision methods and techniques (possibly related to big data and artificial intelligence), meteorological disaster management and emergency management are particularly welcome. Critical empirical research and commentaries dealing with methodological risk issues are also welcome.

Topics:

  • (1) Data-driven fuzzy decision making:

    Explore how to use fuzzy decision modeling to manage effectively in dynamic environments; explore new tools and new approaches to leverage multi-source heterogeneous data. Make better decisions by collecting, analyzing, and presenting data using fuzzy theory that support confident, lasting decisions.

  • (2) Analytics techniques in disaster damage assessment:

    Analyze the impact of climatic and meteorological disasters on the infrastructure, production process, social life, and ecological system, reveal the external influencing elements and internal laws, seek for the qualitative/quantitative models and tools to evaluate and reduce the economic damages and risk, and provide suitable and effective measurements and suggestions.

  • (3) Big data and smart weather applications:

    Climatic and meteorological big data-driven management and decision-making paradigms may shift the mechanism and theory, resource governance, mechanism design and collaborative management, analysis methods and supporting technologies, synergistic development mechanism for meteorological big data, AI and smart weather.

  • (4) Disaster emergency management:

    Analyze the occurrence and evolution of various kinds of meteorological disasters process, and explore and discuss the working process, critical links, methods and measures of disaster emergency management. Examine especially the rescue path fuzzy optimization and emergency fuzzy decision-making.

  • Keywords:

    1.Data-driven fuzzy decision making

    2.Fuzzy multi-source heterogeneous data analytics

    3.Disaster risk analysis and assessment theory

    4.Emergency decision-making

    5.Big data and Artificial Intelligence

  • Important dates

    January 15, 2020 - Paper submission deadline

    March 15, 2020 - Author notification of acceptance or rejection

    April 15, 2020 - Final manuscript and early registration

    July 19-24, 2020 - IEEE WCCI

    To submit your paper see WCCI 2020 Paper Submission or go directly to the Submission site.

Organizers and Contact

  • Zaiwu Gong

    School of Management Science and Engineering

    Nanjing University of Information Science & Technology

    Nanjing, Jiangsu 210044

    China

    Email address: zwgong@nuist.edu.cn; zwgong26@163.com

    Tel: +8613512516726

  • Dr. Guo Wei

    Department of Mathematics and Computer Science

    University of North Carolina at Pembroke

    Email address: guo.wei@uncp.edu

    Tel: 19107363329

    Address: One University Drive Pembroke, North Carolina, NC

    28372, USA

  • Dr. Kecheng Liu

    Henley Business School

    University of Reading

    Email: k.liu@henley.ac.uk

    Tel: +44 (0) 118 378 8614

    Address: Whiteknights, PO Box 217, Reading, Berkshire, RG6

    6AH, United Kingdom

  • Dr. Zhijie Sasha Dong

    Department of Industrial Engineering

    Texas State University

    Email: sasha.dong@txstate.edu

    Tel: 512-245-7227

    Address: IGRM 4001H, 601 University Drive

    San Marcos, TX 78666, USA

  • Dr. Ge Gao

    Beijing Climate Center

    Email: gaoge@cma.gov.cn

    Tel: +86 13621195723

    Address: China Meteorological Administration

    No.46 Zhongguancun Nandajie, Haidian

    Beijing 100081, China

  • Dr. Mei Cai

    School of Management Science and Engineering

    Nanjing University of Information Science & Technology

    Email address: caimei@nuist.edu.cn

    Tel: +8613851949576

    Address: School of Management Science and Engineering

    No.219, Ningliu Road, Nanjing, Jiangsu 210044, China