In order to control the systematic divergence among decision makers (DMs) and preserve original preference, this paper proposes a novel information fusion framework under hesitant fuzzy environment. First, maximum compactness-based normalization method is presented normalize elements (HFEs) as pretreatment of data. Second, prospect theory introduced assign optimal aggregation weights maximize e...

In some complex group decision making cases, the opinions of decision makers (DMs) present random characteristic. However, it is difficult to determine the range of opinions by knowing only their probability distributions. In this paper, we construct cost consensus models with random opinions. The objective function is obtaining the minimum consensus budget under a certain confidence level. Non...

Abstract This paper presents an integrating decision support system (IDSS) for food security in the United Kingdom. In ever-larger dynamic systems, such as system, it is increasingly difficult makers (DMs) to effectively account all variables within that may influence outcomes of interest under enactments various candidate policies. Each influencing likely, themselves, be subsystems with expert...

It is a complex situation when a decision is to be made under uncertainty. The uncertain information has been treated mathematically in the literature from different angles. This paper presents a novel method towards this problem based on fuzzy sets. The approach is constituted using distance between triangular fuzzy numbers. The proposed approach allows decision makers (DMs) to evaluate and im...

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...

The main purpose of this planned manuscript is to establish an algorithm for the solution multiattribute decision-making (MADM) issues, where experts utilizing linguistic variables provide information about attributes in form picture hesitant fuzzy numbers. So, these kinds we develop TOPSIS under environment using variables, which plays a vital role practical applications, notably MADM decision...

We present an equilibrium model where the demand side of market determines strategic incentives firms when considering introduction technologically superior products (TSPs) and subsequent dynamic evolution configuration. Market is built on conventional features defining behavior decision-makers (DMs), who are required to acquire information sequentially about characteristics describing products...

Indecision constitutes a frequent and significant problem among decision makers (DMs). The substantial amount of potential choices available, the subjectivity and imprecision inherent in the information received, and the limited capacity of DMs to assimilate the information available are generally blamed for the resulting indecisiveness. We consider the problem of a DM who must rank a set of al...

rapid technological and economic growth over the last several decades has changed human lives and made modern society face complex decision making problems. these kinds of problems are characterized by incommensurate and conflicting criteria or objectives such as cost, reliability, performance, safety and productivity. multi criteria decision making is an approach that can be used to deal compl...

Supplier selection is an important issue in supply chain management (SCM) which, as with most dimensions of business, has been strongly impacted by the COVID-19 pandemic. Previous research on clothing and textiles (C&T) industry overlooked efforts to provide a regular reference method for addressing problem supplier selection. This study discusses pandemic’s impact on, relative importance o...