International Journal of Multicriteria Decision Making
These articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.
Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.
Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.
International Journal of Multicriteria Decision Making (2 papers in press)
A Multi-criteria Decision Making Model for the Optimal Planning of Municipal Solid Waste under Uncertainty by Syed Muneeb, Ahmad Yusuf Adhami, Zainab Asim Abstract: This paper presents a decision making model to effectively allocate the flow of waste under the restrictions of transportation, inventory holdings, waste treatment and disposal operations. The model considers the objectives of minimizing total cost and delivery time as well as maximizing the revenue generated from the waste treatment. To handle the uncertainties waste generation rates are considered as normal random variables. Weighted fuzzy programming is used to generate the compromise solutions. To illustrate and justify the applicability and efficiency of proposed model, a numerical illustration is also provided. Finally, different set of solutions are also obtained based on varying weights or preferences assigned to different objective functions. The proposed network involves all of the links included in a waste management system from the waste generators to the disposals and therefore is highly useful for decision makers to increase the efficiency of the existing waste management systems. On the practical concern, the proposed model also provides an avenue to explore the decision making when different priorities are taken into consideration for different objectives. The study did not consider different types of waste and their associated waste treating facilities which make the system more complex. The model could be advanced further by considering stochastic or fuzzy uncertainties in different parameters of the problem. Moreover incorporation of multi-level, multi-waste concepts into the proposed model could also be considered as the future perspectives of the present study. Keywords: Solid waste management; revenue; multi-objective programming; stochastic programming.
An extension of PROMETHEE to hierarchical multicriteria clustering by Jean Rosenfeld, Yves De Smet Abstract: Multicriteria clustering can be seen as a hybridization between ranking and sorting problematic. These methods are used to build totally or partially ordered groups of alternatives based on preference relations.rnIn the context of totally ordered clustering, two hierarchical approaches (top-down and bottom-up) based on PROMETHEE II have been developed in this paper. These methods rely on the optimization of the structure of the clustering (by maximizing the intra-cluster homogeneity and the inter-clusters heterogeneity). A third approach is developed as a hybrid model that merges the information obtained by both previous models. rnA specific quality index has been introduced to be able to evaluate the method's outputs and to choose appropriately the desired number of clusters.rnThe three procedures have been tested on several dataset (Shanghai Ranking of World Universities, Environmental Performance Index and CPU evaluations) and the results have been compared with P2Clust. Keywords: Multiple Criteria Analysis; PROMETHEE; Hierarchical Clustering; Multicriteria Clustering; Quality Index.