Assessment of Corporate Sustainability via Fuzzy Logic

被引:0
|
作者
Yannis A. Phillis
Benjamin J. Davis
机构
[1] Technical University of Crete,Department of Production Engineering and Management
[2] University of California,Department of Chemical and Biomolecular Engineering
关键词
Sustainability; Corporation; Corporate sustainability; Sensitivity analysis; Decision making;
D O I
暂无
中图分类号
学科分类号
摘要
Corporations interact with society and the physical and biological environment in ways that affect both sides. In this capacity, corporations play an important role in the sustainability of a region or country. Symmetrically, a corporation’s sustainability depends on the sustainability of its wider environment. In this paper, a multi-stage fuzzy reasoning model is presented to assess a corporation’s sustainability. The model has two fundamental components: human and ecological. The human component has up to four inputs: economic, political, knowledge, and welfare. The ecological component can also have up to four inputs: air, water, land, and biodiversity. Each of these eight components has a number of basic inputs suitable for evaluating a given corporation. The model can be used to assess a corporation’s sustainability, record its historical evolution, and compare the company to its direct competitors. Equally importantly, sensitivity analysis of the model reveals the most important basic indicators affecting corporate sustainability, identifying areas which managers and executives should place special attention. An application example based on three large international corporations in the same industry illustrates the usefulness of the model.
引用
收藏
页码:3 / 20
页数:17
相关论文
共 50 条
  • [1] Assessment of Corporate Sustainability via Fuzzy Logic
    Phillis, Yannis A.
    Davis, Benjamin J.
    [J]. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2009, 55 (01) : 3 - 20
  • [2] A Fuzzy Logic-Based Tool for the Assessment of Corporate Sustainability: A Case Study in the Food Machinery Industry
    Bottani, Eleonora
    Gentilotti, Maria Carmen
    Rinaldi, Marta
    [J]. SUSTAINABILITY, 2017, 9 (04)
  • [3] Fuzzy Logic Approach for Sustainability Assessment Based on the Integrative Sustainability Triangle
    Bitter, Jan
    Printz, Stephan
    Lahl, Kristina
    Vossen, Rene
    Jeschke, Sabina
    [J]. 2016 WORLD CONGRESS ON SUSTAINABLE TECHNOLOGIES (WCST), 2016, : 64 - 69
  • [4] Corporate sustainable performance assessment based on fuzzy logic
    Pislaru, Marius
    Herghiligiu, Ionut Viorel
    Robu, Ioan-Bogdan
    [J]. JOURNAL OF CLEANER PRODUCTION, 2019, 223 : 998 - 1013
  • [5] Sustainability assessment of wind turbines using fuzzy logic
    Al-Shalash, Ola
    Barakat, Nael
    [J]. HEAT TRANSFER, 2021, 50 (02) : 1156 - 1170
  • [6] Sustainability Assessment by Use of Fuzzy Logic-A Review
    Dumane, Pratibha R.
    Sarate, Anuja D.
    Chavan, Satishkumar S.
    [J]. COMPUTING, COMMUNICATION AND SIGNAL PROCESSING, ICCASP 2018, 2019, 810 : 363 - 370
  • [7] Assessment of nuclear energy sustainability index using fuzzy logic
    Abouelnaga, Ayah E.
    Metwally, Abdelmohsen
    Aly, Naguib
    Nagy, Mohammad
    Agamy, Saeed
    [J]. NUCLEAR ENGINEERING AND DESIGN, 2010, 240 (07) : 1928 - 1933
  • [8] Dealing with uncertainty - integrated sustainability assessment based on Fuzzy Logic
    Baumgartner, RJ
    [J]. Sustainable Development and Planning II, Vols 1 and 2, 2005, 84 : 261 - 270
  • [9] Environmental Assessment for Sustainability Determination based on Fuzzy Logic Model
    Pislaru, Marius
    Trandabat, Alexandru
    Avasilcai, Silvia
    [J]. Environmental Science and Technology, Pt 1, 2011, 6 : VI301 - VI305
  • [10] Application of a Fuzzy Hierarchical Model to the Assessment of Corporate Social and Environmental Sustainability
    Kouikoglou, Vassilis S.
    Phillis, Yannis A.
    [J]. CORPORATE SOCIAL RESPONSIBILITY AND ENVIRONMENTAL MANAGEMENT, 2011, 18 (04) : 209 - 219