Possibilistic fuzzy local information C-means with automated feature selection for seafloor segmentation

Peeples, Joshua; Suen, Daniel; Zare, Alina; Keller, James M.

doi:10.1117/12.2305178

Cited by 10 publications

(4 citation statements)

References 20 publications

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“…Specifically, it means that suppliers, customers, consumers, and managers of commodities (government, trade associations, etc.) communicate with each other through e-mail and instant chat tools, share all kinds of business information, and use electronic tools to manage and complete trading activities [17]. In a narrow sense, e-commerce refers to the business model of the trading party based on the Internet.…”

Section: The Latest Technologymentioning

confidence: 99%

Application of a Fuzzy Information Analysis and Evaluation Method in the Development of Regional Rural e-Commerce

Wang¹

2022

Advances in Multimedia

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As a new form of e-commerce, digital industry will become a tool to enhance regional competitiveness and win the allocation of resources, and its advanced degree is the standard to measure economic strength. In the process of development, countries and regions need to master their development status, so a set of digital industry evaluation index system is necessary to help various fields monitor the development status of e-commerce industry, aiming at providing more targeted services. Therefore, the establishment of regional digital industry progress index is conducive to evaluating and improving the development level of e-commerce. Because of the unbalanced development among different regions and the diversity and fuzziness of evaluation indexes, how to evaluate the development degree of cross-border electronic commerce in a region has become the main problem at present. In this paper, the evaluation index of regional promotion degree in cross-border electronic commerce is constructed, and on this basis, the intuitionistic fuzzy multiattribute group decision-making method based on induction is used to evaluate the promotion degree of regional cross-border electronic commerce. By analyzing the actual situation of cross-border Internet e-commerce comprehensive evaluation cases in various regions of Zhejiang Province, it is proved that this method is really effective. In view of this, this paper constructs an integrated multiangle monitoring index system of regional digital industry progress index, puts forward a subjective and objective method based on the principle of the minimum distance between the evaluated object and the ideal point, and combines the regional digital industry progress index with the comprehensive index method. The measurement model is used to measure the progress of digital industry in this region from June 2019 to June 2020, as an empirical object. The empirical results will show that this road is easy, and at the same time, we can fully grasp the progress of digital technology in a region.

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Section: The Latest Technologymentioning

confidence: 99%

Application of a Fuzzy Information Analysis and Evaluation Method in the Development of Regional Rural e-Commerce

Wang¹

2022

Advances in Multimedia

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“…In the two previous works that use PFLICM on SAS data, Zare et al 2017 paper 13 and Peeples et al 2018 paper, 14 PFLICM was applied in an unsupervised manner, and worked well in that situation. However, in the environmental context problem, it is sometimes good to know what exactly each cluster represents.…”

Section: Introductionmentioning

confidence: 98%

“…Numerous segmentation algorithms 11,12 have been previously applied to partition the sea environment from SAS imagery, recently, possibilistic clustering algorithms have been investigated. 13,14 Possibility theory was first proposed in 1978 by Zadeh 15 and various algorithms have been developed to apply these principles since then. [16][17][18] Possibility theory is similar to probablistic theory in that possibility assignments, called typicalities, must fall in the closed range [0, 1].…”

Section: Introductionmentioning

confidence: 99%

“…The Possibilistic Fuzzy Local Information C-Means (PFLICM) 13 and Possibilistic K-Nearest Neighbors (PKNN) 19 algorithms both use possibility theory and have shown success in various applications. PFLICM has shown success in distinguishing seafloor textures 13,14 while PKNN has been used in landmine detection. Both of these possibilistic approaches could be extended to improve ATR for SAS imagery by providing soft labels that characterize the contents of the seafloor texture.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of possibilistic fuzzy local information C-means and possibilistic K-nearest neighbors for synthetic aperture sonar image segmentation

Peeples

Cook

Suen

et al. 2019

Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV

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Synthetic aperture sonar (SAS) imagery can generate high resolution images of the seafloor. Thus, segmentation algorithms can be used to partition the images into different seafloor environments. In this paper, we compare two possibilistic segmentation approaches. Possibilistic approaches allow for the ability to detect novel or outlier environments as well as well known classes. The Possibilistic Fuzzy Local Information C-Means (PFLICM) algorithm has been previously applied to segment SAS imagery. Additionally, the Possibilistic K-Nearest Neighbors (PKNN) algorithm has been used in other domains such as landmine detection and hyperspectral imagery. In this paper, we compare the segmentation performance of a semi-supervised approach using PFLICM and a supervised method using Possibilistic K-NN. We include final segmentation results on multiple SAS images and a quantitative assessment of each algorithm.

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Adaptive enhanced interval type-2 possibilistic fuzzy local information clustering with dual-distance for land cover classification

Guo

2023

Engineering Applications of Artificial Intelligence

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Possibilistic fuzzy local information C-means with automated feature selection for seafloor segmentation

Cited by 10 publications

References 20 publications

Application of a Fuzzy Information Analysis and Evaluation Method in the Development of Regional Rural e-Commerce

Application of a Fuzzy Information Analysis and Evaluation Method in the Development of Regional Rural e-Commerce

Comparison of possibilistic fuzzy local information C-means and possibilistic K-nearest neighbors for synthetic aperture sonar image segmentation

Adaptive enhanced interval type-2 possibilistic fuzzy local information clustering with dual-distance for land cover classification

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