Assessment of criteria - rich rankings for environmental policy making

Date

2011-12-01

Author

Yeralan, Sencer
Ozdoglar, Mehmet Rasit
Azizoğlu, Meral

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

213
views

0
downloads

This paper illustrates the use of mathematical programming techniques to extract more information out of composite indexes (e.g., the EPI-2008) that would assist decision makers. While recognising the qualitative aspects of such decision making, in order to support and guide the policy making process, we develop analytical tools to assist the process. We carefully delineate our models to be limited only to the provable quantitative properties of the available objective data. However, such data are processed into more meaningful statements concerning the available options. Specifically, using EPI-2008, meaningful mathematical models that shed further light onto the country sustainability measures are developed. The models may be used to determine which criteria must be emphasised if the composite score or the rank of a given country is to be improved.

Subject Keywords

Management Science and Operations Research, Strategy and Management

URI

https://hdl.handle.net/11511/42131

Journal

International Journal of Multicriteria Decision Making

DOI

https://doi.org/10.1504/ijmcdm.2011.041190

Collections

Department of Industrial Engineering, Article

Suggestions

OpenMETU
Core

Neural network calibrated stochastic processes: forecasting financial assets Giebel, Stefan; Rainer, Martin (Springer Science and Business Media LLC, 2013-03-01) If a given dynamical process contains an inherently unpredictable component, it may be modeled as a stochastic process. Typical examples from financial markets are the dynamics of prices (e.g. prices of stocks or commodities) or fundamental rates (exchange rates etc.). The unknown future value of the corresponding stochastic process is usually estimated as the expected value under a suitable measure, which may be determined from distribution of past (historical) values. The predictive power of this estimati...
Multi-objective integer programming: A general approach for generating all non-dominated solutions Oezlen, Melih; Azizoğlu, Meral (Elsevier BV, 2009-11-16) In this paper we develop a general approach to generate all non-dominated solutions of the multi-objective integer programming (MOIP) Problem. Our approach, which is based on the identification of objective efficiency ranges, is an improvement over classical epsilon-constraint method. Objective efficiency ranges are identified by solving simpler MOIP problems with fewer objectives. We first provide the classical epsilon-constraint method on the bi-objective integer programming problem for the sake of comple...
THE SCHEDULING OF ACTIVITIES TO MAXIMIZE THE NET PRESENT VALUE OF PROJECTS - COMMENT SEPIL, C (Elsevier BV, 1994-02-24) In a recent paper, Elmaghraby and Herroelen have presented an algorithm to maximize the present value of a project. Here, with the help of an example, it is shown that the algorithm may not find the optimal solution.
Scheduling parallel machines to minimize weighted flowtime with family set-up times Azizoğlu, Meral (Informa UK Limited, 2003-01-01) We describe and evaluate several branch-and-bound algorithms for an identical parallel machine scheduling problem with family set-up times and an objective of minimizing total weighted flowtime. The algorithms differ by choice of lower bound method. Computational results suggest conditions favourable to a particular algorithm as well as the range of problem sizes that can be optimally solved in reasonable CPU time.
Comparison of feature-based and image registration-based retrieval of image data using multidimensional data access methods Arslan, Serdar; Yazıcı, Adnan; Sacan, Ahmet; Toroslu, İsmail Hakkı; Acar, Esra (Elsevier BV, 2013-07-01) In information retrieval, efficient similarity search in multimedia collections is a critical task In this paper, we present a rigorous comparison of three different approaches to the image retrieval problem, including cluster-based indexing, distance-based indexing, and multidimensional scaling methods. The time and accuracy trade-offs for each of these methods are demonstrated on three different image data sets. Similarity of images is obtained either by a feature-based similarity measure using four MPEG-...

Citation Formats

S. Yeralan, M. R. Ozdoglar, and M. Azizoğlu, “Assessment of criteria - rich rankings for environmental policy making,” International Journal of Multicriteria Decision Making, pp. 280–297, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42131.