Search
Search Results
-
Measure
Measuring the key ingredients (i.e., KPI) that relate to the defined problem is the fundamental element of the measure phase. Such elements of...
-
Measure, Integrals and Fuzzy Events
This chapter reviews classical measure theory including probability and Lebesgue measures. This discussion is followed by fuzzy measures, Sugeno...
-
Tourism profile measure for data-driven tourism segmentation
The digital revolution has brought about profound changes in research within the tourism segmentation field. The ease of gras** tourists’ behaviors...
-
Ordinal network-based affine invariant Riemannian measure and its expansion: powerful similarity measure tools for complex systems
The ordinal network is an effective method to characterize the dynamic features of time series. Meanwhile, Riemannian geometry is an important...
-
Limitations of the Improved CB (ICB) Measure
This paper discusses the limitations of the Improved Weighted Composite Complexity measure, a measure used to determine the cognitive complexity of...
-
Importance measure evaluation of manufacturing systems based on improved LeaderRank algorithm
Aiming at the “networked” topological structure layout of equipment in a manufacturing system, and there are many factors in the process of...
-
A Novel Distance Measure and CRADIS Method in Picture Fuzzy Environment
Picture fuzzy set (PFS) is an extension of intuitionistic fuzzy set, providing a more realistic representation of information characterized by...
-
Correspondence measure: a review for the digital twin standardization
This study delves into the critical issue of Digital Twin (DT) technology standardization, focusing on introducing a novel approach called...
-
Multi-attribute decision-making problem in career determination using single-valued neutrosophic distance measure
In this paper, we introduce a distance measure on single-valued neutrosophic sets by sine function which is a generalization of intuitionistic fuzzy...
-
A hybrid similarity measure-based clustering approach for mixed attribute data
In mixed attribute clustering, the similarity measure superposition is skewed due to the difference of measuring different attribute types. In this...
-
Decision making using novel Fermatean fuzzy divergence measure and weighted aggregation operators
The fuzzy set theory was introduced to handle uncertainty due to imprecision, vagueness and partial information. Then, its extensions such as...
-
The Evolution of the Concept of Fuzzy Measure
Most information discovery processes need to understand the reasons of the success of the inference methods or the usability of the new information,...
-
A novel similarity measure for intuitionistic fuzzy sets and its application to pattern recognition
Although there are many researches on the similarity measure for intuitionistic fuzzy sets, some of them have some defects. To overcome these...
-
Uncertainty Measure-Based Incremental Feature Selection For Hierarchical Classification
In the era of big data, there exist complex structure between different classes labels. Hierarchical structure, among others, has become a...
-
An Improved Fusion-Based Semantic Similarity Measure for Effective Collaborative Filtering Recommendations
Semantic-enhanced recommendation systems are promising approaches to overcome the sparsity and cold-start problems, which are hard to handle using...
-
-
Group decision on rationalizing disease analysis using novel distance measure on Pythagorean fuzziness
Despite the fact that several technologies have been developed to assist healthcare workers in reducing errors and improving accuracy in illness...
-
Novel similarity measure between hesitant fuzzy set and their applications in pattern recognition and clustering analysis
The extension of classical fuzzy sets are hesitant fuzzy sets (HFSs), in which each element has a possible value from [0,1]. Similarity and distance...
-
Three Applications of Measure Transportation in Statistical Inference
Measure transportation recently helped solve some long-standing open problems in statistical inference by providing satisfactory definitions of ranks...
-
Multi-criteria decision-making based on intuitionistic fuzzy exponential knowledge and similarity measure and improved VIKOR method
Atanassov intuitionistic fuzzy sets (AIFSs) are substantially more effective at capturing and processing uncertainty than fuzzy sets. More focus has...
