In the era of internet connection and IOT, data-driven decision-making has become a new trend shows characteristics multi-granularity. Because three-way considers uncertainty for complex problems cost sensitivity classification, it is becoming an important branch modern decision-making. practice, usually have hybrid multi-attributes, which can be expressed in forms real numbers, interval fuzzy ...

This study presents one of the first attempts to focus on critical success factors influencing the entrepreneurial intensity of Malaysian small and medium sized enterprises (SMEs) as they attempt to expand internationally. The aim of this paper is to evaluate and prioritize the entrepreneurial intensity among the SMEs using multicriteria decision (MCDM) techniques. In this research FAHP is used...

Purpose The decision-making to outsource and select the most suitable global manufacturing outsourcing partner (MOP) is complex uncertain due multiple conflicting qualitative quantitative criteria as well alternatives. Vagueness variability exist in ratings of alternatives by group decision-makers (DMs). paper provides a novel Stochastic Fuzzy (SF) method for evaluation selection agile sustaina...

This study proposes a multiple attributes decision making (MADM) method for solving glamor stock selection problem based on fundamental analysis. Traditional analyzes rely on choosing key financial ratios in making comparison, or by observing the trends of change in various financial variables (also termed as criteria or signals in this study). However, most of the criteria for stock selection ...

Aiming at the target recognition problem of multi-sensor with multiple characteristic indexes, a new fusion method is proposed. The method firstly substitutes the distance of confidence for the ordinary attribute values, and the weights of attributes are derived by solving the optimal programming of maximizing the total square deviation of the confidence distance for all attributes. Then accord...

This paper presents a model based on a novel compromised solution method to solve the multiobjective large-scale nonlinear programming (MOLSNLP) problems with block angular structure. In this method, an aggregating function that is developed from TOPSIS and VIKOR is proposed based on the particular measure of ‘‘closeness” to the ‘‘ideal” solution. The decomposition algorithm is utilized to redu...

Identifying relevant location determinants is a good starting point for shop operators, help to increase profitability and, thus, avoiding business failure. Traditional Analytic Hierarchy Process (AHP) or the Network (ANP) have shortages that require improvement. Herein, Decision-Making Trial and Evaluation Laboratory (DEMATEL), ANP based on DEMATEL (DANP), modified Vlse Kriterijumska Optimizac...