Decision Support System for Evaluating Impact of Product Carbon Labeling Scheme

In this paper a decision support system for sys- tematically evaluating the impact of labeling products with their carbon footprints is developed and applied to prioritize products for carbon labeling in a large supermarket chain in the UK. Carbon labels may change consumers' behav- ior and encourage suppliers to implement carbon-reduction solutions. Those changes may, however, lead to unintended risks. To handle the challenges of uncertainties in the evalu- ation, the Evidential Reasoning approach and the Intelligent Decision System software for multi-criteria decision analy- sis are applied to support the process. The system developed can be applied to assessing the impact of sustainable devel- opment policies to maximize their benefits and minimize their risks.

[1]  Robert L. Hicks,et al.  Can Eco-Labels Tune a Market? Evidence from Dolphin-Safe Labeling , 2002 .

[2]  S. French,et al.  Decision Theory: An Introduction to the Mathematics of Rationality. , 1988 .

[3]  Annika Carlsson-Kanyama,et al.  Environmental information in the food supply system , 2006 .

[4]  Jian-Bo Yang,et al.  The evidential reasoning approach for multi-attribute decision analysis under interval uncertainty , 2006, Eur. J. Oper. Res..

[5]  Jian-Bo Yang,et al.  Multicriteria evidential reasoning decision modelling and analysis—prioritizing voices of customer , 2011, J. Oper. Res. Soc..

[6]  Grant D. Jacobsen.  The Al Gore effect: An Inconvenient Truth and voluntary carbon offsets , 2011 .

[7]  Jian-Bo Yang,et al.  Nonlinear information aggregation via evidential reasoning in multiattribute decision analysis under uncertainty , 2002, IEEE Trans. Syst. Man Cybern. Part A.

[8]  Jian-Bo Yang,et al.  Environmental impact assessment using the evidential reasoning approach , 2006, Eur. J. Oper. Res..

[9]  Olivier Jolliet,et al.  Life Cycle Impact Assessment , 2015 .

[10]  Glenn Shafer,et al.  A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

[11]  T. Stewart.  A CRITICAL SURVEY ON THE STATUS OF MULTIPLE CRITERIA DECISION MAKING THEORY AND PRACTICE , 1992 .

[12]  Jian-Bo Yang,et al.  Introduction to the ER Rule for Evidence Combination , 2011, IUKM.

[13]  K. McConway,et al.  Decision Theory: An Introduction to the Mathematics of Rationality , 1986 .

[14]  S. French.  Decision Theory: An Introduction to the Mathematics of Rationality , 1986 .

[15]  Matthias Ehrgott,et al.  Multiple criteria decision analysis: state of the art surveys , 2005 .

[16]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[17]  Mark Goedkoop,et al.  Life-Cycle Impact Assessment: Striving towards Best Practice , 2002 .

[18]  Simon French,et al.  Comparison study of multi-attribute decision analytic software , 2005 .

[19]  Jian-Bo Yang,et al.  Intelligent decision system and its application in business innovation self assessment , 2006, Decis. Support Syst..

[20]  Luis Martínez-López,et al.  Self-tuning of fuzzy belief rule bases for engineering system safety analysis , 2008, Ann. Oper. Res..

[21]  Ralph E. Steuer,et al.  Multiple Criteria Decision Making, Multiattribute Utility Theory: The Next Ten Years , 1992 .

[22]  Paul Goodwin,et al.  Decision Analysis for Management Judgment , 1998 .

[23]  M. Singh,et al.  An Evidential Reasoning Approach for Multiple-Attribute Decision Making with Uncertainty , 1994, IEEE Trans. Syst. Man Cybern. Syst..

[24]  Jian-Bo Yang,et al.  On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty , 2002, IEEE Trans. Syst. Man Cybern. Part A.

[25]  Theodor J. Stewart,et al.  Multiple criteria decision analysis - an integrated approach , 2001 .

[26]  S. Bolwig,et al.  Emerging product carbon footprint standards and schemes and their possible trade impacts , 2009 .

[27]  Jian-Bo Yang,et al.  Safety assessment of FPSO turret-mooring system using approximate reasoning and evidential reasoning , 2005 .

[28]  Jian-Bo Yang,et al.  Application of an intelligent decision system to nuclear waste repository option analysis , 2008 .

[29]  Jian-Bo Yang,et al.  Estimation, modeling, and aggregation of missing survey data for prioritizing customer voices , 2012, Eur. J. Oper. Res..

[30]  Dong-Ling Xu,et al.  A belief rule-based decision support system for clinical risk assessment of cardiac chest pain , 2012, Eur. J. Oper. Res..

[31]  Malcolm J. Beynon,et al.  Understanding local ignorance and non-specificity within the DS/AHP method of multi-criteria decision making , 2005, Eur. J. Oper. Res..

[32]  Jin Wang,et al.  Use of Advances in Technology in Marine Risk Assessment , 2004 .

[33]  Jian-Bo Yang,et al.  An Evidential-Reasoning-Interval-Based Method for New Product Design Assessment , 2009, IEEE Transactions on Engineering Management.

[34]  Sam Savage,et al.  The Flaw of Averages , 2002 .

[35]  D. L. Xu,et al.  Application of multiple criteria decision analysis in impact assessment of carbon labelling , 2009, 2009 IEEE International Conference on Industrial Engineering and Engineering Management.

[36]  Jian-Bo Yang,et al.  Rule and utility based evidential reasoning approach for multiattribute decision analysis under uncertainties , 2001, Eur. J. Oper. Res..

[37]  H. Raiffa,et al.  Decisions with Multiple Objectives , 1993 .