There are various methods regarding project selection in different fields. This paper deals with an actual application of construction project selection, using two aggregation operators. First, the opinion of experts is used in a model of group decision making called intuitionistic fuzzy TOPSIS IFT . Secondly, project evaluation is formulated by dynamic intuitionistic fuzzy weighted averaging D...

Aggregation operators are useful tools for approaching situations in the realm of multiattribute decision-making (MADM). Among most valuable aggregation strategies, Hamy mean (HM) operator is designed to capture correlations among integral parameters. In this article, a series Hamy-inspired used combine 2-tuple linguistic Fermatean fuzzy (2TLFF) information. The new 2TLFF that born from adaptat...

The Multiple Attribute Group Decision Making (MAGDM) problems are investigated in which all the information provided by the decision-makers is presented as interval-valued intuitionistic fuzzy decision matrices, and the information about attribute weights is partially known. Three different models are utilized for calculating the completely unknown attribute weights which are then used for aggr...

Service adoption analysis is a useful instrument for reducing the risk of new service development and launch. The purpose of this study is to develop a 2-tuple fuzzy linguistic approach for assessing the intention level of service adoption. In doing so, a theoretical framework for service adoption analysis is proposed. Under this framework, a 2-tuple fuzzy linguistic approach is then proposed f...

In this research, we provide tools to overcome the information loss limitation resulting from requirement estimate results in discrete initial expression domain. Through use of 2-tuples, which are made up a linguistic term and numerical value calculated between [0.5,0.5), will be expressed. This model supports continuous representation data within its scope, permitting it express any counting r...

Multiple attributes group decision making (MAGDM) is regarded as the process of determining the best feasible solution by a group of experts or decision makers according to the attributes that represent different effects. In assessing the performance of each alternative with respect to each attribute and the relative importance of the selected attributes, quantitative/qualitative evaluations ar...

A problem that we had encountered in the aggregation process, is how to aggregate the elements that have cardinality 1. The purpose of this article is to present a new aggregation operator of linguistic labels that uses the cardinality of these elements, the linguistic aggregation of majority additive (LAMA) operator. We also present an extension of the LAMA operator under the two-tuple fuzzy l...

Abstract One of characteristics large-scale linguistic decision making problems is that information with respect to attributes derived from multi-sources information. In addition, the number makers, alternatives or criteria in context big data are increasingly large. Correlation analysis between has become an important issue problems. paper, we concentrate on correlation deal intuitionistic fuz...

Intuitionistic linguistic set is an effective tool to deal with uncertainty. In this paper we develop a new method for financial decision making problems under intuitionistic linguistic environment and introduce the induced intuitionistic linguistic ordered weighted averaging distance (IILOWAD) operator. The main advantage of this operator is that it is able to consider complex attitudinal char...

Interval type-2 fuzzy sets, each of which is characterized by the footprint of uncertainty, are a very useful means to depict the linguistic information in the process of decision making. In this article, we investigate the group decision making problems in which all the linguistic information provided by the decision makers is expressed as interval type-2 fuzzy decision matrices where each of ...