Special Issue on: "Quantitative Methods in Decision Making Processes"
Minwir Al-Shammari and Hatem Masri, University of Bahrain, Kingdom of Bahrain
This special issue aims to cover up-to-date scientific methods (mathematical models, databases and computer programmes) for helping decision makers, managers and directors to solve complex problems in modern organisations.
Decision making is the process by which an optimal choice between alternatives can be made. These decisions can relate to different fields such as management, banking and finance, investment, manufacturing, transportation, etc. Quantitative methods may include multiple criteria analysis, optimisation models, simulation, stochastic processes, game theory, statistics and so on.
The issue will carry revised and substantially extended versions of selected papers presented at a special session on Quantitative Methods in Business, Finance and Investment during the International Conference on Multidimensional Finance, Insurance and Investment 2013 (ICMFII'2013), but we also strongly encourage researchers unable to participate in the conference to submit articles for this call.
Suitable topics include, but are not limited to, the following:
- Multiple criteria analysis
- Quantitative methods in finance, insurance and investment
- Quantitative methods in engineering
- Quantitative management and decision making
- Fuzziness and uncertainty in decision aid
- Statistical and probabilistic modelling
- Optimisation and decision procedures
- Supply chain and optimal decisions in logistics
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).
All papers are refereed through a peer review process.
All papers must be submitted online. To submit a paper, please read our Submitting articles page.
Submission deadline: 31 December, 2014