Inicio  /  Algorithms  /  Vol: 13 Par: 6 (2020)  /  Artículo
ARTÍCULO
TITULO

An Algorithm for Fuzzy Negations Based-Intuitionistic Fuzzy Copula Aggregation Operators in Multiple Attribute Decision Making

Stylianos Giakoumakis and Basil Papadopoulos    

Resumen

In this paper, we develop a novel computation model of Intuitionistic Fuzzy Values with the usage of fuzzy negations and Archimedean copulas. This novel computation model?s structure is based on the extension of the existing operations of intuitionistic fuzzy values with some classes of fuzzy negations. Many properties of the proposed operations are investigated and proved. Additionally, in this paper we introduce the concepts of intuitionistic fuzzy Archimedean copula weighted arithmetic and geometric aggregation operators based on fuzzy negations, including a further analysis of their properties. Finally, using a case study from an already published paper we found that our method has many advantages.

 Artículos similares

       
 
Tianlong Li, Tao Zhang and Wenhua Li    
This paper presents a two-step approach for optimizing the configuration of a mobile photovoltaic-diesel-storage microgrid system. Initially, we developed a planning configuration model to ensure a balance between the mobility of components and a sustain... ver más
Revista: Applied Sciences

 
Liqiu Chen, Chongshi Gu, Sen Zheng and Yanbo Wang    
Real and effective monitoring data are crucial in assessing the structural safety of dams. Gross errors, resulting from manual mismeasurement, instrument failure, or other factors, can significantly impact the evaluation process. It is imperative to elim... ver más
Revista: Water

 
Lin Xu, Shanxiu Ma, Zhiyuan Shen, Shiyu Huang and Ying Nan    
In order to determine the fatigue state of air traffic controllers from air talk, an algorithm is proposed for discriminating the fatigue state of controllers based on applying multi-speech feature fusion to voice data using a Fuzzy Support Vector Machin... ver más
Revista: Aerospace

 
Mohammed Saïd Kasttet, Abdelouahid Lyhyaoui, Douae Zbakh, Adil Aramja and Abderazzek Kachkari    
Recently, artificial intelligence and data science have witnessed dramatic progress and rapid growth, especially Automatic Speech Recognition (ASR) technology based on Hidden Markov Models (HMMs) and Deep Neural Networks (DNNs). Consequently, new end-to-... ver más
Revista: Aerospace

 
Mohamed Shenify, Fokrul Alom Mazarbhuiya and A. S. Wungreiphi    
There are many applications of anomaly detection in the Internet of Things domain. IoT technology consists of a large number of interconnecting digital devices not only generating huge data continuously but also making real-time computations. Since IoT d... ver más
Revista: Applied Sciences