Spatio-Geologically Informed Fuzzy Classification: An Innovative Method for Recognition of Mineralization-Related Patterns by Integration of Elemental, 3D Spatial, and Geological Information

Esmaeiloghli, Saeid; Tabatabaei, Sayed Gholam Hassan; Carranza, Emmanuel John M.

doi:10.1007/s11053-020-09798-x

Cited by 16 publications

(3 citation statements)

References 114 publications

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“…FCM combines neural network theory with fuzzy control. Its main advantages are simple construction methods, convenient operation, and strong reasoning ability (Esmaeiloghli et al, 2021; Vani & Anusuya, 2020). FCM is a directed graph composed of concept nodes, directed arcs, and the causal relationship between concept nodes.…”

Section: Methodsmentioning

confidence: 99%

RETRACTED: The design of intelligent fuzzy cognitive system of music emotion by product supply chain management

Jiang

2023

Expert Systems

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The classification of musical emotion is a challenging problem due to the subjectivity of human perception. In order to analyse the emotion contained in music from the perspective of product supply chain management, the psychological model and characteristics of music emotion are introduced. Additionally, the current product supply chain and the composition of the two contracts are analysed based on the characteristics of online music products. Finally, a speech emotion recognition model based on a Fuzzy Cognitive Map (FCM) is proposed. Two corpora containing five emotions (sadness, anger, happiness, surprise, and boredom) are selected to test the performance and characteristics of the network. In order to evaluate the system performance, different acoustic features are extracted, including prosodic features, formant features, marginal spectral features, and Mel‐Frequency Cepstral Coefficients (MFCC). The results show that the average recognition rate of MFCC features on the Berlin emotional speech database is 70.36%, which is 0.75% higher than the second‐highest edge spectrum features and achieves better results. Meanwhile, on this database, the Musical Emotion Recognition System based on FCM (MERS‐FCM) is improved by 20.36%, 7.34%, and 4.12% compared with Back Propagation, K‐nearest neighbour, and support vector machine, respectively, which shows that MERS‐FCM has better performance. The research of the music emotion recognition system based on FCM can provide more reference paths for the use and development of music emotion information.

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Section: Methodsmentioning

confidence: 99%

RETRACTED: The design of intelligent fuzzy cognitive system of music emotion by product supply chain management

Jiang

2023

Expert Systems

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“…Relationships between the groups were probabilistically weaker than within the groups. To estimate the integral probability of success of such demand-supply system, we used a fuzzy logic model developed by [48] and heavily expanded in modern mineral prospective modelling practice [49][50][51][52][53].…”

Section: Ranking Of Minerals By the Period Of Reserves Availabilitymentioning

confidence: 99%

Mineral Policy within the Framework of Limited Critical Resources and a Green Energy Transition

et al. 2021

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The green energy transition is associated with the use of a wide range of metals and minerals that are exhaustible. Most of these minerals are limited in access due to small resource fields, their concentration in several locations and a broader scale of industry usage which is not limited exclusively to energy and environmental sectors. This article classifies 17 minerals that are critical in the green energy transition concerning the 10 main technologies. The following classification signs of metal resources were used: (1) the absolute amount of metals used in the current period for energy;(2) projected annual demand in 2050 from energy technologies as a percentage of the current rate;(3) the number of technologies where there is a need for an individual metal;(4) cumulative emissions of CO₂, which are associated with metal production;(5) period of reserves availability;(6) the number of countries that produced more than 1% of global production;(7) countries with the maximum annual metal productivity. The ranking of metals according to these characteristics was carried out using two scenarios, and the index of the availability of each mineral was determined. The lowest availability index values (up to 0.15) were calculated for cobalt, graphite and lithium, which are key battery minerals for energy storage. Low indices (up to 0.20) were also obtained for iron, nickel and chromium. The calculation of the availability index for each mineral was enhanced with linear trend modelling and the fuzzy logic technique. There are two scenarios of demand–supply commodity systems with a pre-developed forecast up to 2050: basic independent parameter probability and balanced fuzzy sum. Both scenarios showed comparable results, but the second one highlighted supply chain importance. Generally, the lowest availability index values (up to 0.15) were calculated for cobalt, graphite and lithium, which are key battery minerals for energy storage. Low indices (up to 0.20) were also obtained for iron, nickel and chromium. The fuzzy logic model helped to reveal two scenarios up to 2050. The two scenarios presented in the current research expose a high level of uncertainty of the projected 2050 forecast.

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“…Geo-environmental carrying capacity emphasizes the relationship between human production, life, and the geo-environment [6]. Its main feature is the maximum tolerance of the geo-environmental system to external environmental changes and the continuous exchange of material, information [7], and energy with the human social system to ensure effective, smooth, and sustainable development of the human social system and to satisfy all human production activities to the fullest extent possible [8]. Geo-environmental carrying capacity is a direct reflection of the structure and function of the geo-environmental system, which can be accurately measured by combining qualitative and quantitative methods [9].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Geo-Environment Carrying Capacity Based on Intuitionistic Fuzzy TOPSIS Method: A Case Study of China

et al. 2023

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The resource environment is a fundamental prerequisite for the construction of ecological civilization and the realization of sustainable development goals. It is also a core guarantee for human production activities. Conducting an evaluation of regional geo-environmental carrying capacity has significant practical importance for achieving sustainable development in the region. However, the existing evaluation methods for geo-environmental carrying capacity fail to effectively integrate multi-source data, resulting in an incomplete reflection of the level of regional geological carrying capacity. To address this issue, this study introduces the intuitionistic fuzzy multi-attribute decision-making method into the geo-environmental carrying capacity evaluation, according to the unique topographic and geomorphological characteristics of the region. A complete analysis framework is established, which integrates the intuitionistic fuzzy and TOPSIS models to classify the geo-environmental carrying capacity evaluation into five grades: high, relatively high, medium, relatively poor, and poor. Using Meishan, China as an example, the region is divided into 33 geomorphological units based on its geographical features. The results show that: (a) the percentage of natural units with high carrying capacity is 17.27%, that of relatively high natural units is 14.07%, that of medium natural units is 31.70%, that of relatively poor natural units is 27.51%, and that of poor natural units is 9.45%; (b) the geo-environmental carrying capacity exhibits spatial differences and uneven distribution. Furthermore, the average annual rainfall and degree of karst development are the main factors affecting the geo-environmental carrying capacity. These research results and findings can provide technical support for urban planning, regional sustainable development, and ecological environmental protection.

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Spatio-Geologically Informed Fuzzy Classification: An Innovative Method for Recognition of Mineralization-Related Patterns by Integration of Elemental, 3D Spatial, and Geological Information

Cited by 16 publications

References 114 publications

RETRACTED: The design of intelligent fuzzy cognitive system of music emotion by product supply chain management

RETRACTED: The design of intelligent fuzzy cognitive system of music emotion by product supply chain management

Mineral Policy within the Framework of Limited Critical Resources and a Green Energy Transition

Evaluation of Geo-Environment Carrying Capacity Based on Intuitionistic Fuzzy TOPSIS Method: A Case Study of China

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