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
  • [31] Fuzzy logic programming via multilattices
    Medina, Jesus
    Ojeda-Aciego, Manuel
    Ruiz-Calvino, Jorge
    [J]. FUZZY SETS AND SYSTEMS, 2007, 158 (06) : 674 - 688
  • [32] FUZZY LOGIC MODEL OF SOFT DATA ANALYSIS FOR CORPORATE CLIENT CREDIT RISK ASSESSMENT IN COMMERCIAL BANKING
    Brkic, Sabina
    Hodzic, Migdat
    Dzanic, Enis
    [J]. 5TH INTERNATIONAL SCIENTIFIC CONFERENCE ECONOMY OF INTEGRATION (ICEI 2017): THE ROLE OF ECONOMIC THOUGHT IN MODERN ENVIRONMENT, 2017, : 189 - 202
  • [33] Sustainability Assessment for Small and Medium Enterprise (SMEs) by Using Fuzzy Logic Approach: A Direction and Further Research
    Mahmood, Salwa
    Hassan, Mohd Fahrul
    Hemdi, Abdul Rahman
    Kafuku, John Mbogo
    Saman, Muhamad Zameri Mat
    [J]. INTERNATIONAL JOURNAL OF INTEGRATED ENGINEERING, 2021, 13 (02): : 10 - 15
  • [34] HAZARD ASSESSMENT BASED ON FUZZY LOGIC
    Grychowski, Tomasz
    [J]. ARCHIVES OF MINING SCIENCES, 2008, 53 (04) : 595 - 602
  • [35] Fuzzy logic in electrostatics - Hazard assessment
    Balog, E
    Berta, I
    [J]. ELECTROSTATICS 1999, 1999, 163 : 215 - 220
  • [36] Reliability assessment based on fuzzy logic
    Bâzu, M
    [J]. COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION - EVOLUTIONARY COMPUTATION & FUZZY LOGIC FOR INTELLIGENT CONTROL, KNOWLEDGE ACQUISITION & INFORMATION RETRIEVAL, 1999, 55 : 470 - 475
  • [37] Fuzzy Logic Applied for Pronunciation Assessment
    Bahi, Halima
    Necibi, Khaled
    [J]. INTERNATIONAL JOURNAL OF COMPUTER-ASSISTED LANGUAGE LEARNING AND TEACHING, 2020, 10 (01) : 60 - 72
  • [38] Evaluations of corporate sustainability indicators based on fuzzy similarity graphs
    Docekalova, Marie Pavlakova
    Doubravsky, Karel
    Dohnal, Mirko
    Kocmanova, Alena
    [J]. ECOLOGICAL INDICATORS, 2017, 78 : 108 - 114
  • [39] ORGANIZATIONAL SUSTAINABILITY SCORE - PROBABILITY APPROACH USING FUZZY LOGIC
    Herghiligiu, Ionut Viorel
    Robu, Ioan-Bogdan
    Vilcu, Adrian
    Pislaru, Marius
    Pohontu-Dragomir, Stefana-Catalina
    Cojocaru, Mariana
    Herghiligiu, Cristina Maria
    [J]. ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL, 2024, 23 (02):
  • [40] QUANTIFYING WATER SUPPLY SYSTEMS SUSTAINABILITY USING FUZZY LOGIC
    Halkijevic, Ivan
    [J]. HRVATSKE VODE, 2014, 22 (90) : 397 - 398