Enterprise investment decision performance evaluation is a complex system, which affected by many factors. Based on the consideration of corporate strategy and stakeholders, six-level index system designed to evaluate decision-making. The index-selection method combining benchmarking management principal component analysis established, enterprise based neural network fuzzy decision-making desig...

Developing consensus is crucial to effective collaborative decision making and is particularly difficult in cases involving disruptive technologies, a new technology that unexpectedly displaces an established technology. Collaborative decision making often involves multiple criteria. Multicriteria decision making (MCDM) techniques, such as the analytical hierarchy process (AHP) and multiattribu...

Multiple attribute decision making is important in many decision making contexts where tradeoffs are involved. The use of qualitative input has proven especially attractive, allowing subjective inputs to be used. However, such systems inherently involve uncertainty with respect to parameter inputs, especially when multiple decision makers are involved. This paper presents the method of grey rel...

This paper presents rough netrosophic multiattribute decision making based on grey relational analysis. While the concept of neutrosophic sets is a powerful logic to deal with indeterminate and inconsistent data, the theory of rough neutrosophic sets is also a powerful mathematical tool to deal with incompleteness. The rating of all alternatives is expressed with the upper and lower approximati...

– Normalization procedures are required in multiattribute decision making (MADM) to transform performance ratings with different data measurement units in a decision matrix into a compatible unit. MADM methods generally use one particular normalization procedure without considering the suitability of other available procedures. This study compares four commonly known normalization procedures in...

The order relation of fuzzy number is important in decision making and optimization modeling, and ranking fuzzy numbers is difficult in nature. Ranking trapezoidal intuitionistic fuzzy numbers (TrIFNs) is more difficult due to the fact that the TrIFNs are a generalization of the fuzzy numbers. The aim of this paper is to develop a new methodology for ranking TrIFNs. We define the value-index an...