This paper describes an application of multi-criteria decision making (MCDM) for multi-modal fusion of features in a 3D face recognition system. A decision making process is outlined that is based on the performance of multi-modal features in a face recognition task involving a set of 3D face databases. In particular, the fuzzy interval valued MCDM technique called TOPSIS is applied for ranking...

The present research work deals with a logistic membership function (MF), within non-linear MFs, in finding out fuzziness patterns in disparate level of satisfaction for Multiple Criteria Decision-Making (MCDM) problem. This MF is a modified form of general set of S-curve MF. Flexibility of this MF in applying to real world problem has also been validated through a detailed analysis. An example...

Access to freshwater is one of the most critical challenges in drought-prone regions India due climate change and population growth. However, societal costs people displacement are often ignored while evaluating interlinking rivers (ILR) projects though significant impacts ILR densely populated countries. Therefore, authors expand scope Integrated Water Resources Management (IWRM) by incorporat...

In the realm of multi-criteria decision-making (MCDM) problems, selection a weighting method holds critical role. Researchers from diverse fields have consistently employed MCDM techniques, utilizing both traditional and novel methods to enhance discipline. Acknowledging significance staying abreast such methodological developments, this study endeavors contribute field through comprehensive re...

The marketing industry is constantly evolving as digital technology and their applications spread. Consumer behavior, company structures, approaches, competitive capacities are all impacted by this shift. For large medium-sized businesses, has made them more than competitors in the market when it comes to sales. Public relations can be given a significant boost thanks widespread adoption of mar...

This paper concerns some aspects of uncertainty in a multi-criteria decision-making (MCDM) in the framework of recommendation systems. We try to emphasize the interest of handling uncertainty with possibility distributions in a MCDM process when evaluations are imprecise. We propose to support the recommendation process by managing the propagation of decision-making indicators (location, imprec...

Multiple Criteria Decision Making (MCDM) aims at giving people a knowledge recommendation concerning a set of objects evaluated from multiple preference-ordered attributes. The Superiority and Inferiority Ranking (SIR) is a generation of the well-known outranking approachPROMETHEE, which is an efficient approach for MCDM. As the traditional MCDM approach, however, it faces the obstacle in handl...

This paper proposes the application of Meta-Learning Evolutionary Artificial Neural Network (MLEANN) in selecting flexible manufacturing systems (FMS) from a group of candidate FMS’s. First, multi-criteria decisionmaking (MCDM) methodology using an improved S-shaped membership function has been developed for finding out the “best candidate FMS alternative” from a set of candidate-FMSs. The MCDM...