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Improvement of Collaborative Filtering Recommendation Algorithm Based on Intuitionistic Fuzzy Reasoning under Missing Data

Yanju Zhang, Yue Wang, Shiqin Wang
2020 IEEE Access  
To solve the problems, we propose a recommendation algorithm (IFR-CF) based on intuitionistic fuzzy reasoning and collaborative filtering.  ...  INDEX TERMS Collaborative filtering, intuitionistic fuzzy reasoning, intuitive index, similarity.  ...  COLLABORATIVE FILTERING ALGORITHM BASED ON INTUITIONISTIC FUZZY REASONING In this section, intuitionistic fuzzy reasoning is introduced into collaborative filtering recommendation algorithm, and we use  ... 
doi:10.1109/access.2020.2980624 fatcat:iwue3kdzczee5oxspfizt3modu

Page 5619 of Mathematical Reviews Vol. , Issue 97I [page]

1997 Mathematical Reviews  
a Hausdorff gap.  ...  After giving the fundamental concepts, such as intuitionistic fuzzy sets, intu- itionistic fuzzy points, intuitionistic fuzzy topological spaces and fuzzy continuity in these spaces, we present fuzzy subspaces  ... 

A study of local base and adherent point by Double sets in D-Topology

Raja Rajeswari, K. Suguna Devi, N. Durga Devi
2017 Journal of Advanced Studies in Topology  
The conditions for convergence of the local base for the D-filter space is derived.  ...  In this paper, we introduce the study of D-local base for the D-filter neighbourhood of any D-point of a double set.  ...  Clearly Np ∩ Nq is also a double filter on X. It is a double filter base on X which generates a double filter D F which is finer than both D Fp and D Fq .  ... 
doi:10.20454/jast.2017.1200 fatcat:y6jrr45nlnh6le3ilqymfqsodu

On some results in intuitionistic fuzzy ideal convergence double sequence spaces

Vakeel A. Khan, Mobeen Ahmad, Hira Fatima, Mohd Faisal Khan
2019 Advances in Difference Equations  
This has motivated us to propose the intuitionistic fuzzy I-convergent double sequence spaces determined by the bounded linear operator.  ...  We also study the concept of the ideal Cauchy and ideal convergence on the said spaces.  ...  In 1986, Atanassov [2] started the study of intuitionistic fuzzy sets which is a generalization of fuzzy sets.  ... 
doi:10.1186/s13662-019-2306-y fatcat:4ginuslipzfjrjllpqptv2gdoe

Similarity measures for content-based image retrieval based on intuitionistic fuzzy set theory

Shaoping Xu, Chunquan Li, Shunliang Jiang, Xiaoping Liu
2012 Journal of Computers  
In this paper, a new intuitionistic fuzzy model for images based on the HSV color histogram is proposed.  ...  A new and simple calculation of similarity measurement called 1 based on similarity measurement of intuitionistic fuzzy set 1 is presented.  ...  Grzegorzewski [15] suggested Hamming distance and Euclidean distance based on the Hausdorff metric using intuitionistic fuzzy sets.  ... 
doi:10.4304/jcp.7.7.1733-1742 fatcat:xyzlgdknpjfe5psusulxfned4i

Similarity Measure Based on Distance of Dual Hesitant Fuzzy Sets and Its Application in Image Feature Comparison and Recognition

Shihong Chen, Zhi-yong Bai
2014 Open Automation and Control Systems Journal  
In this paper, we propose the distance-based similarity measure of dual hesitant fuzzy sets (DHFSs) and apply it to the image feature comparison and recognition.  ...  Based on distance-based similarity measure of DHFS, we establish a comprehensive assessment method of image features to compare the images, where five criteria are represented by DHFSs to assess the image  ...  Xu and Xia extended a series of distance and similarity measures for HFSs based on the distinguished Hamming distance, Euclidean distance, Hausdorff metric and their generalizations, and also gave three  ... 
doi:10.2174/1874444301406011691 fatcat:znp4crnzobcvdekyoihlmjuyqi

A Survey Of The State-Of-The-Arts On Neutrosophic Sets In Biomedical Diagnoses

Nguyen Gia Nhu, Nilanjan Dey, Amira S. Ashour, Le Son
2017 Zenodo  
Fuzzy techniques have extensive solutions for the medical domain applications; however incorporating a new neutrosophic approaches in the medical domain proves its superiority.  ...  Meanwhile, the NS generalizes concept of the classic set, interval valued fuzzy set, fuzzy set, interval valued intuitionistic fuzzy set, and the intuitionistic fuzzy set.  ...  intuitionistic fuzzy set.  ... 
doi:10.5281/zenodo.1412521 fatcat:wexcss4jcvembeuxhu2ipbyxyu

Scientia Magna, Vol. 7, No. 4 [article]

Wenpeng, Zhang (editor)
2011 Zenodo  
Definition 2.9. [11] A nonvoid family F of GIF sets on X is said to be generalized intuitionistic fuzzy filter (in short GIF filter) if (1) Equivalently if the inverse image of every closed set in (  ...  The concepts of generalized intuitionistic fuzzy filter and intuitionistic fuzzy C-convergent are established. Some properties are investigated with some illustrations. §2.  ...  Since every compact Hausdorff space is locally compact and every locally compact space is core compact, therefore by Corollary 3.2, f is a proper map in one of the categories, core compactly generated  ... 
doi:10.5281/zenodo.9007 fatcat:mp6dvvzptjggpeinofw27qrz5a

Neutrosophic Almost Contra α-Continuous Functions

R. Dhavaseelan, Md. Hanif PAGE
2019 Zenodo  
Besides, we also introduce ℵ𝛼-connected space, ℵ-weakly Hausdorff space, separation axioms, ℵ𝛼-normal and ℵ-strong normal spaces.  ...  There are approaches such as fuzzy sets [28] , intuitionistic fuzzy sets [10] , vague sets [13] , and rough sets [18] which can be treated as mathematical tools to avert obstacles dealing with ambiguous  ...  A nonempty family of ℵ − open sets on is named as ℵ − filter base if I. 0 ℵ ∉ II. If 1 , 2 ∈ then 3 ⊂ 1 ∩ 2 for some 3 ∈ 3.  ... 
doi:10.5281/zenodo.3514402 fatcat:i74ibbo5j5fkplwgtyejmlxm3e

On Intuitionistic Fuzzy n–Normed I –Convergence of Sequence spaces Defined by Orlicz Function

Vakeel A. Khan, Abdullah A. H. Makharesh, Mohammad Faisal Khan, Sameera A. A. Abdullah, Kamal M. A. S. Alshlool
2020 Advances in dynamical systems and applications (ADSA)  
Recently, the notion of I λ -convergence in an intuitionistic fuzzy n-normed spaces was introduced by Konwar et al. [N. Konwar and P. Debnath.  ...  Further, we examine some topological properties on these spaces.  ...  One of the generalization of our interest in this paper is the notion of I λ -convergence in an Intuitionistic fuzzy n-normed space provided by Konwar et al. [10] .  ... 
doi:10.37622/adsa/15.1.2020.1-15 fatcat:ao3umhp3jjfobcpv5zgonawpuu

Applications of Soft Set in Decision Making Problems

B.V.S.T. Sai
2020 Global Journal of Pure and Applied Mathematics  
Agarwal-Garg [25] extended the Intuitionistic Fuzzy Soft Sets (IFSS) to generalized IFSS (GIFSS) by introducing the generalization parameter to the pool of the intuitionistic fuzzy numbers (IFNs) of  ...  on fuzzy number intuitionistic fuzzy soft sets environment.  ... 
doi:10.37622/gjpam/16.2.2020.305-324 fatcat:rntj66shtzanrol7rwiavneaim

Fuzzy Clustering Based Segmentation of Vertebrae in T1-Weighted Spinal MR Images

Jiyo S.Athertya, Saravana Kumar G
2016 International Journal of Fuzzy Logic Systems  
The predominantly used conventional segmentation techniques and the thresholding methods suffer from limitations because of heavy dependence on user interactions.  ...  The objective of this paper is to develop an effective robust fuzzy C- means clustering for segmenting vertebral body from magnetic resonance image owing to its unsupervised form of learning.  ...  A similar study on generic grey scale images is put forth in [9] where the IFC combines several MF's to address the uncertainty in choosing the best MF.  ... 
doi:10.5121/ijfls.2016.6202 fatcat:5fxetrnqbfeclbexnd7nhpz2bi

Neutrosophic Semiopen Hypersoft Sets with an Application to MAGDM under the COVID-19 Scenario

D. Ajay, J. Joseline Charisma, N. Boonsatit, P. Hammachukiattikul, G. Rajchakit
2021 Journal of Mathematics  
Hypersoft set is a generalization of soft sets, which takes into account a multiargument function.  ...  We propose two algorithms based on neutrosophic hypersoft open sets and topology to obtain optimal decisions in MAGDM.  ...  and fuzzy Hausdorff space and some characterizations concerning fuzzy compactness and fuzzy connectedness were defined [26] .  ... 
doi:10.1155/2021/5583218 doaj:263cfc0c16014dd28b20d0fa3df83743 fatcat:cstspefp6zg2xjmk4gbvkxfvuu

A Kernel-Based Intuitionistic Fuzzy C-Means Clustering Using a DNA Genetic Algorithm for Magnetic Resonance Image Segmentation

Wenke Zang, Weining Zhang, Wenqian Zhang, Xiyu Liu
2017 Entropy  
In this paper, we introduce a new formulation of the MRI segmentation problem as a kernel-based intuitionistic fuzzy C-means (KIFCM) clustering problem and propose a new DNA-based genetic algorithm to  ...  Existing methods based on soft clustering have several drawbacks, including low accuracy in the presence of image noise and artifacts, and high computational cost.  ...  Aruna et al. presented a modified intuitionistic fuzzy C-means (IFCM) clustering algorithm [15] , which adopts a new IFS generator and the Hausdorff distance.  ... 
doi:10.3390/e19110578 fatcat:uknekm3ezzhmxbarl5huvfoaty

George-Veeramani Fuzzy Metrics Revised

Alexander Šostak
2018 Axioms  
In contrast to the traditional approach to the theory of fuzzy metric spaces which is based on the use of a t-norm, we proceed from a t-conorm in the definition of a revised fuzzy metric.  ...  In this note, we present an alternative approach to the concept of a fuzzy metric, calling it a revised fuzzy metric.  ...  an intuitionistic fuzzy metric.  ... 
doi:10.3390/axioms7030060 fatcat:wuq2ur4qfjfybdg6szfcuuzi64
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