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Information fusion for intuitionistic fuzzy decision making: an overview
Z Xu, N Zhao - Information Fusion, 2016 - Elsevier
Intuitionistic fuzzy decision making is to find the suitable method for ranking alternatives
based on the provided intuitionistic fuzzy information or some related attributes. To date …
based on the provided intuitionistic fuzzy information or some related attributes. To date …
Scheduling under uncertainty for industry 4.0 and 5.0
This article provides a review about how uncertainties in increasingly complex production
and supply chains should be addressed in scheduling tasks. Uncertainty management will …
and supply chains should be addressed in scheduling tasks. Uncertainty management will …
An improved method to construct basic probability assignment based on the confusion matrix for classification problem
The determination of basic probability assignment (BPA) is a crucial issue in the application
of Dempster–Shafer evidence theory. Classification is a process of determining the class …
of Dempster–Shafer evidence theory. Classification is a process of determining the class …
An improved genetic algorithm with initial population strategy for symmetric TSP
A new initial population strategy has been developed to improve the genetic algorithm for
solving the well‐known combinatorial optimization problem, traveling salesman problem …
solving the well‐known combinatorial optimization problem, traveling salesman problem …
Resilience-based network design under uncertainty
This paper introduces an approach to quantify resilience for the design of systems that can
be described as a network. A key characteristic of resilience is the ability of restoring …
be described as a network. A key characteristic of resilience is the ability of restoring …
A new method of identifying influential nodes in complex networks based on TOPSIS
In complex networks, identifying influential nodes is the very important part of reliability
analysis, which has been a key issue in analyzing the structural organization of a network. In …
analysis, which has been a key issue in analyzing the structural organization of a network. In …
Dependence assessment in human reliability analysis using evidence theory and AHP
Dependence assessment among human errors in human reliability analysis (HRA) is an
important issue. Many of the dependence assessment methods in HRA rely heavily on the …
important issue. Many of the dependence assessment methods in HRA rely heavily on the …
Identifying influential nodes in complex networks based on AHP
In the field of complex networks, how to identify influential nodes in the network is still an
important research topic. In this paper, a method to identify the influence of the node based …
important research topic. In this paper, a method to identify the influence of the node based …
A new vector valued similarity measure for intuitionistic fuzzy sets based on OWA operators
Plenty of researches have been carried out, focusing on the measures of distance, similarity,
and correlation between intuitionistic fuzzy sets (IFSs). However, most of them are single …
and correlation between intuitionistic fuzzy sets (IFSs). However, most of them are single …
A survey of ai-enabled dynamic manufacturing scheduling: From directed heuristics to autonomous learning
As one of the most complex parts in manufacturing systems, scheduling plays an important
role in the efficient allocation of resources to meet individual customization requirements …
role in the efficient allocation of resources to meet individual customization requirements …