Clustering Algorithm for Intuitionistic Fuzzy Graphs

Karunambigai, M. G.; Akram, Muhammad; Sivasankar, S.; Palanivel, K.

doi:10.1142/s0218488517500155

Cited by 31 publications

(12 citation statements)

References 13 publications

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“…e multimedia sensor network node method is a multiguide determination method combining qualitative and quantitative analysis proposed by the famous American operator T.L. Saaty in the 1970s [13][14][15]. e characteristic of this method is to use less quantitative information to mathematicize the decision-making thinking process on the basis of in-depth analysis of the nature, internal relations, and influencing factors of complex decision-making problems and to provide for complex decision-making problems with multipurpose and multicriteria characteristics.…”

Section: Multimedia Sensor Network Node Methodsmentioning

confidence: 99%

The Establishment and Evaluation Method of Prefabricated Building Construction Quality Evaluation Index System Taking into Account Multimedia Sensor Network Nodes

Guo

2021

Advances in Multimedia

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Through in-depth analysis of the characteristics of the quality evaluation stage of prefabricated buildings, the quality evaluation of prefabricated buildings can be divided into three stages: before, during, and after construction. According to the detailed design content of the prefabricated building construction stage, we construct the prefabricated construction quality evaluation index system, use the multimedia sensor network node method to obtain the weight of each evaluation index, comprehensively evaluate the construction quality of the prefabricated building, and finally show through the case analysis results that the multimedia sensor network node method can be of high practical value in the process of prefabricated building construction quality evaluation, and it has improved the domestic prefabricated building construction quality evaluation index system and evaluation quality and has certain reference value.

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Section: Multimedia Sensor Network Node Methodsmentioning

confidence: 99%

The Establishment and Evaluation Method of Prefabricated Building Construction Quality Evaluation Index System Taking into Account Multimedia Sensor Network Nodes

Guo

2021

Advances in Multimedia

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“…Real-life 3D visualization is simply called translation, and as the name suggests, it moves while maintaining a level at home. e main steps of the 3D visualization of the real scene of the building can be incorporated into the separation and displacement from the original position [13][14][15]. e general process is to cut off the building from the previous foundation and transfer it to the commission structure, install a mobile device under the transaction structure to form a movable whole to move the building to a predetermined location, and request the location to connect the AHP method and the evaluator about each evaluation e relative importance of elements is judged.…”

Section: Construct a Judgment Matrixmentioning

confidence: 99%

Evaluation and Analysis of Multimedia Collaborative Building Design Relying on Particle Swarm Optimization Algorithm

Yang

2021

Advances in Multimedia

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This article proposes improvements to the placement, organizational structure, and adaptability of the evaluation model and proposes a comprehensive evaluation model for the multiattribute scheme of the particle swarm optimization algorithm. The structure table of the multimedia building design plan evaluation index, the plan evaluation table, and the standardized model of the plan evaluation value of the common method was proposed. It also proposes the import of “with tutor” type data of particle swarm optimization algorithm as well as the self-organizing neural network evaluation model and calculation method of “no tutor” type resource import. According to the complexity of architectural design evaluation and the nonlinear relationship between related influencing factors, we have studied the principles and methods of applying system analysis, designed comprehensive evaluation models, and comprehensively evaluated architectural design schemes.

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“…An unsupervised distance learning algorithm based on the DI-FCM (doubleindices fuzzy C-means) algorithm framework-a doubleindex fuzzy C-means algorithm based on hybrid clustering learning HDDI-FCM (double-indices fuzzy C-means with hybrid distance)-was proposed in [16]. Karunambigai et al [17] proposed a fuzzy scatter matrix-based clustering algorithm that aims to minimize the trace of the intraclass fuzzy scatter matrix while maximizing the trace of the interclass fuzzy scatter matrix, integrates hard and soft clustering, and assigns a hard core boundary to each class. A fuzzy kernel clustering algorithm with different attributes weighted in the feature space was proposed in [18], which can effectively deal with the clustering problems of linear inseparability and unbalanced attributes.…”

Section: Related Workmentioning

confidence: 99%

“…In order to further illustrate the practicability of this algorithm, two face databases, ORL face database and YALE face database, are used for experiments [24]. PCA [14], LDA [15], LPP [16], and MFA [17] algorithms are used for comparison, and the experiments are repeated for 20 times. Figure 6 shows the average recognition rate of various algorithms.…”

Section: E Ssfcm-hpr Algorithm Is Used To Analyze the Datasetmentioning

confidence: 99%

Value Analysis and Realization of Artistic Intervention in Rural Revitalization Based on the Fuzzy Clustering Algorithm

Liang

2022

Scientific Programming

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Intervening in the revitalization and development of art villages is one of the ways to build regional brands in rural areas, fit in with contemporary aesthetics, and meet the needs of modern people for diversified life. At the same time, it is not limited by artistry itself, but a comprehensive artistic activity with modernity, industrial linkage, and sustainability. This paper uses the HPR (Hestenes–Powell–Rockafellar) multiplier method to solve and establishes a SSFCM-HPR (semisupervised fuzzy C-means clustering based on HPR) algorithm. The experimental results on datasets show that FCM-UserCF (fuzzy C-means-user collaborative filtering) algorithm effectively solves the problem of data sparsity and improves the accuracy of recommendation. Rural planning and design under the intervention of art is a kind of respect for local memory, an inheritance of folk crafts, a reshaping of history and culture, and an identification with the countryside itself. It also puts forward new development ideas and guiding methods for the sustainable development of rural areas.

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Clustering Algorithm for Intuitionistic Fuzzy Graphs

Cited by 31 publications

References 13 publications

The Establishment and Evaluation Method of Prefabricated Building Construction Quality Evaluation Index System Taking into Account Multimedia Sensor Network Nodes

The Establishment and Evaluation Method of Prefabricated Building Construction Quality Evaluation Index System Taking into Account Multimedia Sensor Network Nodes

Evaluation and Analysis of Multimedia Collaborative Building Design Relying on Particle Swarm Optimization Algorithm

Value Analysis and Realization of Artistic Intervention in Rural Revitalization Based on the Fuzzy Clustering Algorithm

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