We consider Multi Criteria Decision Making (MCDM) as the conjunction of three components: search, preference tradeoffs, and interactive visualization. The first MCDM component is the search process over the space of possible solutions to identify the nondominated solutions that compose the Pareto set. The second component is the preference tradeoff process to select a single solution (or a smal...

In this paper, we demonstrate the design and use of a Foresight Support System (FSS) combining two multi-criteria decision-making (MCDM) methods. Traditionally, foresight activities involves Delphi, focus group, or Estimate-Talk-Estimate techniques to collect opinions of an expert panel. Often, these techniques are not computerized and data visualization is rudimentary. Our highly-interactive F...

Neutrosophic set is very useful to express uncertainty,impreciseness, incompleteness and inconsistency in a more general way.It is prevalent in real life application problems to express both indeterminate and inconsistent information.This paper focuses on introducing a new similarity measure in the neutrosophic environment.Similarity measure approach can be used in ranking the alternatives and ...

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...

Multicriteria decision-making (MCDM) problems often involve a complex decision process in which multiple requirements and fuzzy conditions have to be taken into consideration simultaneously. The existing approaches for solving this problem in a fuzzy environment are complex. Combining the concepts of grey relation and pairwise comparison, a new fuzzy MCDM method is proposed. First, the fuzzy an...

In this research, MCDM methods have been integrated with a GIS to provide the means to prioritise branch closure procedures based upon a variety of different choice criteria and on the importance (weight) a decision maker might attach to these. Both MCDM and GIS are well established methods and fields of research. Their integration, however, seems at best an emerging field. This paper describes...

Real-life engineering optimization problems need Multiobjective Optimization (MOO) tools. These problems are highly nonlinear. As the process of Multiple Criteria Decision-Making (MCDM) is much expanded most MOO problems in different disciplines can be classified on the basis of it. Thus MCDM methods have gained wide popularity in different sciences and applications. Meanwhile the increasing nu...

Problems involving the processing of spatial data such as industrial site selection and land use allocation are multifacetted challenges. Not only they often involve numerous technical requirements, but may also contain economical, social, environmental and political dimensions that may have conflicting values. Solutions for these problems involve highly complex spatial data analysis processes ...

BACKGROUND The biological basis of pain in chronic pancreatitis is poorly understood. Mast cells have been implicated in the pathogenesis of pain in other conditions. We hypothesized that mast cells play a role in the pain of chronic pancreatitis. We examined the association of pain with mast cells in autopsy specimens of patients with painful chronic pancreatitis. We explored our hypothesis fu...

Machine tool selection is a very complex procedure. It involves deep analysis of various factors affecting functioning and performance. CNC machine tool selection is also a such kind of problem[5]. Objective of this study is to perform various MCDM methods for selecting most appropriate machine tool. AHP method is used to calculate the weights of various criteria[10] . The numerical problem con...