This paper describes the application of a well-known Multi Criteria Decision Making (MCDM) technique called Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE II) to explore porphyry copper deposits. Various raster-based evidential layers involving geological, geophysical, and geochemical geo-datasets are integrated to prepare a mineral prospectivity mapping (MPM). In a...

Abstract In a portfolio selection problem, the first step is to choose suitable stocks at the right time. Many approaches and principles have been used to help investor solve the problem. This paper documents a new approach for the portfolio selection problem based on the combined method of Constrained Fuzzy Analytic Hierarchy Process (CFAHP) and the Preference Ranking Organization Method for E...

The problem of chunk-based resource allocation for the uplink of Long Term Evolution is investigated. In this paper, a combined order using the promethee method and analytic hierarchy decision for chunk allocation algorithm is proposed. The utility of each order is sorted based on promethee method approach so that the utility of each order could be approximated as the average of all criteria on...

multi attribute decision making methods are considered as one of the most useful methods for solving ranking problems. in some decision making problems, while the alternatives for corresponding criteria are compared in a pairwise comparison manner, if the criteria are inherently fuzzy, debates will arise in ranking alternatives due to the closeness of the values of the criteria. in this researc...

This paper focuses on the problem of supplier portfolio selection where a company has to choose best possible set suppliers with respect various constraints. An intuitive heuristic can suggest use any methods for ranking and then put first one into portfolio. If some required constraint is not met, second according added, so on, until all constraints are satisfied. However, such approach result...

Supplier selection is a multi-Criteria problem. This study proposes a hybrid model for supporting the suppliers’ selection and ranking. This research is a two-stage model designed to fully rank the suppliers where each supplier has multiple Inputs and Outputs. First, the supplier evaluation problem is formulated by Data Envelopment Analysis (DEA), since the regarded decision deals with uncertai...

predicting the sawability of the dimension stone is one of the most important factors involved in production planning. moreover, this factor can be used as an important criterion in the cost estimation and planning of the stone plants. the main purpose for carrying out this work was to rank the sawability of the dimension stone using the promethee method. in this research work, four important p...

Three methods have previously been presented in Computer and Industrial Engineering for the selection of a statistical distribution to describe a data-set: the weighted sum model, the weighted multiplication model and data envelopment analysis. These are based on distinctive preset of parameters and result in three different rankings. In these approaches there is no interaction with the decisio...

Physical and chemical properties of biodiesel are influenced by structural features of the fatty acids, such as chain length, degree of unsaturation and branching of the carbon chain. This study investigated if microalgal fatty acid profiles are suitable for biodiesel characterization and species selection through Preference Ranking Organisation Method for Enrichment Evaluation (PROMETHEE) and ...