In this paper, the Multiple Attribute Group Decision Making (MAGDM) problems is based on the attribute weights calculated from completely unknown information using the Maximal Entropy OWA weights. The interval-valued intuitionistic fuzzy ordered weighted averaging (IIFOWA) operator is utilized to aggregate all individual interval-valued intuitionistic fuzzy decision matrices provided by the dec...

in this paper, we present a revised similarity measure based onchen-and-chen's similarity measure for fuzzy risk analysis. the revisedsimilarity measure uses the corrected formulae to calculate the centre ofgravity points, therefore it is more  effective than the chen-and-chen'smethod. the revised similarity measure can overcome the drawbacks of theexisting methods. we have also proposed a new ...

The decision-making process on investing in financial markets is a very complex and difficult task, mainly due to the chaotic behavior high uncertainty development of prices investment instruments. For this reason, are increasingly using means artificial intelligence, namely fuzzy logic, which able capture nonlinear behavior.Fuzzy logic provides way draw definitive conclusions from vague, ambig...

The objective of this work is to present a triangular interval type-2 (TIT2) intuitionistic fuzzy sets and their corresponding aggregation operators, namely, TIT2 intuitionistic fuzzy weighted averaging, TIT2 intuitionistic fuzzy ordered weighted averaging and TIT2 intuitionistic fuzzy hybrid averaging based on Frank norm operation laws. Furthermore, based on these operators, an approach to mul...

Decision making is an important issue in business and project management that assists finding the optimal alternative from a number of feasible alternatives. Decision making requires adequate consideration of uncertainty in projects. In this paper, in order to address uncertainty of project environments, interval type-2 fuzzy sets (IT2FSs) are used. In other words, the rating of each alternativ...

The objective of this paper is to present an approach that utilizes an interval type-2 fuzzy decision making system (IT2FDMS) to quantify the Project Management Efficiency (PME). The algorithm developed in this paper is based upon interval type-2 fuzzy logic, giving it the ability to solve complex problems plagued with uncertainty and vagueness. A interval type-2 fuzzy decision making system is...

Abstract Type-2 fuzzy sets (T2FSs) can deal with higher modeling and uncertainties which exist in the real-world application, specifically control systems. Particularly climate changes are always uncertain thus, type-2 controller is an effective system to handle those situations. Polyhouse a methodology used cultivate plants. It breaks seasonal hurdle of formulation it also suitable for conflic...

Interval type-2 fuzzy set (IT2FS) offers interesting avenue to handle high order information and uncertainty in decision support system (DSS) when dealing with both extrinsic and intrinsic aspects of uncertainty. Recently, multiple attribute decision making (MADM) problems with interval type-2 fuzzy information have received increasing attentions both from researchers and practitioners. As a re...