The success of an industry depends on optimization of product cost and for achieving above goal Internal selection should be efficient. In the present study an efficient Multi-Criteria Decision Making (MCDM) approach has been proposed for quality evaluation and performance appraisal in vendor selection. Vendor selection is a Multi-Criteria Decision Making (MCDM) problem influenced by several pa...

Based on picture fuzzy sets (PFSs), we use a mathematical model to tackle such types of problems when person has opinions like yes, no, abstain, and refusal. The spherical is more flexible practical than the model, as it enhances space uncertainty. It broadens vague information evaluated by decision makers since graphs are pictorial representation information. Graphs tool represent network. To ...

abstract— in this paper, a new extended method of multi criteria decision making based on fuzzy-topsis theory is introduced. fuzzy mcdm algorithm for determining the best choice among all possible choices when the data are fuzzy is also presented. using a new index leads to procedure for choosing fuzzy ideal and negative ideal solutions directly from the fuzzy data observed alternatives.in this...

We propose an efficient algorithm for estimation of possibility based qualitative expected utility. It is useful for decision making mechanisms where each possible decision is assigned a multi-attribute possibility distribution. The computational complexity of ordinary methods calculating the expected utility based on discretization is growing exponentially with the number of attributes, and ma...

Data in a data warehouse is organized in a multidimensional model. This multidimensional model helps in faster query processing and efficient OLAP operations for data analysis and decision making. In this paper, we introduce a framework which proposes design methodologies to map the relational database into a multidimensional model. The process starts with first cleaning the relational database...

In this paper, an approach to decision making in managing human resources that integrates multi-attribute decision making techniques with expert systems is described. The approach is based on the explicit articulation of qualitative decision knowledge which is represented by a tree of attributes and decision rules. The decision making process is supported by DEXi, a specialized expert system sh...