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...
-
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...
-
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...
-
Incremental feature selection based on uncertainty measure for dynamic interval-valued data
Feature selection is an important strategy for knowledge reduction in rough set. Interval-valued data, as an extension of single values, can better...
-
A novel intuitionistic fuzzy similarity measure with applications in decision-making, pattern recognition, and clustering problems
The distance and similarity measures are two interrelated information measures that can be effectively used to quantify the degree of deviation and...
-
On attribute importance measure and its application to supplier selection
Rough set theory is a powerful mathematical technique of decision making, which can be exploited to feature selection and rule induction from...
-
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...
-
Query-Based Extractive Text Summarization Using Sense-Oriented Semantic Relatedness Measure
This paper presents a query-based extractive text summarization approach by using sense-oriented semantic relatedness measure. To find the query...
-
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...
-
Multicriteria group decision making approach based on an improved distance measure, the SWARA method and the WASPAS method
The concept of intuitionistic fuzzy set (IFS) has extensively used to handle the uncertainty of real-life decision making problems. The aim of this...
-
A Hybrid Picture Fuzzy Similarity Measure and Improved VIKOR Method
Picture fuzzy set (PFS) can intuitively express the answers of “yes”, “neutral”, “no” and “reject”, which have strong advantages in solving uncertain...
-
Distance correlation entropy and ordinal distance complexity measure: efficient tools for complex systems
Many distance measures are used to quantify the relationship between components in complex systems, such as the commonly used Euclidean distance and...
-
Dissimilarity measure on intuitionistic fuzzy sets from an optimistic viewpoint of the information and its diverse applications
Dissimilarity measure on intuitionistic fuzzy sets (IFS) are often used in various problems of decision-making, pattern recognition and clustering...
-
Multi-attribute decision-making based on novel Fermatean fuzzy similarity measure and entropy measure
To deal with situations involving uncertainty, Fermatean fuzzy sets are more effective than Pythagorean fuzzy sets, intuitionistic fuzzy sets, and...
-
Historical Significance and Modern Impact of Al-Jazari’s Elephant Clock
The elephant clock, an astonishing automaton and mechanical marvel devised by al-Jazari in the 13th century, is an enduring symbol of Islamic...
-
Detecting drifts in data streams using Kullback-Leibler (KL) divergence measure for data engineering applications
The exponential growth of data coupled with the widespread application of artificial intelligence(AI) presents organizations with challenges in...
-
Attitudes Towards Robots Measure (ARM): A New Measurement Tool Aggregating Previous Scales Assessing Attitudes Toward Robots
In the forthcoming decade, interactions between humans and robots are expected to increase gradually. The attitudes that individuals hold towards...
-
Application of Pearson Diversity Entropy as Prognostic Measure of Rotating Machinery
As a novel nonlinear measure, diversity entropy (DE) is a promising tool for prognosis of rotating machinery health. Being a core procedure in DE...
-
A Photoacoustic Method to Measure the Young’s Modulus of Plant Tissues
BackgroundThe PA method combines optical absorption with acoustic detection of laser-generated ultrasound signals to enable high-resolution and...
