A hybrid fuzzy zoning approach for 3-dimensional exploration geotechnical modeling: a case study at Semilan dam, southern Iran

Morshedy, Amin Hossein; Torabi, S. Ali; Memarian, Hossein

doi:10.1007/s10064-017-1133-1

Cited by 7 publications

(4 citation statements)

References 65 publications

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“…This index is a modified version of the Dunn index, in which the dissimilarity function between two clusters is replaced by a triangular inequality, making it easier to calculate. The minimum value of this index indicates the minimum intra-cluster distance, based on which the best clustering algorithm and the appropriate number of clusters can be determined (Hossein Morshedy et al. , 2019).…”

Section: Methodsmentioning

confidence: 99%

Organic food market segmentation based on the neobehavioristic theory of consumer behavior

Tohidi

Mousavi

Dourandish

et al. 2022

BFJ

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PurposeAlthough Iran is one of the largest producers and exporters of saffron in the world, the organic saffron market in Iran is still in its early stages, and there is scarce empirical evidence in this regard. Therefore, the study's primary purpose is to segment the organic saffron market in Mashhad, Iran using neobehavioristic theory and machine learning methods.Design/methodology/approachConsidering the neobehavioristic theory of consumer behavior, the organic saffron market was segmented using crisp and fuzzy clustering algorithms. Also, to assess the relative importance of the factors affecting the intention to buy organic saffron in each market segment, a sensitivity analysis was performed on the output of the artificial neural network (ANN). A total of 400 questionnaires were collected in Mashhad, Iran in January and February 2020.FindingsIn contrast to the belief that psychological factors are more important in market segmentation than demographic characteristics, findings showed that the demographic characteristics of consumers, especially education and income, are the dominant variables in the segmentation of the organic food market. Among the 4 A’s marketing mix elements, the results showed that a low level of awareness and accessibility are obstacles to organic saffron market development. Advertising, distribution channel improvement, package downsizing and online business development are suggested strategies for expanding the organic saffron market in Iran.Practical implicationsThe results of the present study will help policymakers and suppliers of organic saffron to identify their target markets and design short- and long-term marketing strategies to develop the organic saffron market.Originality/valueMachine learning methods and the neobehavioristic theory of consumer behavior were used to segment the organic food market.

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Section: Methodsmentioning

confidence: 99%

Organic food market segmentation based on the neobehavioristic theory of consumer behavior

Tohidi

Mousavi

Dourandish

et al. 2022

BFJ

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“…The kriging variance can be used as a criterion for choosing additional samples [17,18,25,[56][57][58]. Additional samples are commonly designed away from observation locations or where the kriging variance is maximized [22,55].…”

Section: Ordinary Krigingmentioning

confidence: 99%

“…To reflect uncertainty, one can define a fuzzy threshold instead of a sharp one. The triangular fuzzy number (TFN) is a proper choice for designing a fuzzy threshold due to its simplicity and its membership being one of the most commonly applied in different scientific disciplines [44,56,[60][61][62][63]. It defines a 'fuzzy membership function' µ f ,e for each ore element e (e = Cu, Mo, Ag, or Au):…”

Section: Introducing Fuzzy Thresholds and The Ore Membership Degreementioning

confidence: 99%

A Multi-Objective Approach for Optimizing the Layout of Additional Boreholes in Mineral Exploration

Hossein-Morshedy,

Khorram,

Emery

2023

Minerals

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Accurate subsurface exploration requires an optimal network of boreholes. This paper proposes a multi-objective approach to optimize the layout of additional exploratory boreholes. In order to illustrate this approach, geochemical analyses of core samples at the eastern part of the Kahang copper deposit, Central Iran, were used. A measure of the grade uncertainty (kriging standard deviation) and a confidence measure on the ore/waste classification were first calculated by implementing ordinary and indicator kriging. An ore value function was then determined to measure the total value of each block by considering the grades of all the effective variables and their ore membership degree derived from a fuzzy treatment of the grades. Finally, a misclassification cost is defined for each block based on the expected economic effects of ore loss and waste dilution. As a result, an index for the selection of additional boreholes was introduced in order to maximize the kriging standard deviation, the ore misclassification cost, and the ore value and to minimize the confidence measure. Applied to the Kahang copper deposit, this index allowed the prioritization of areas for infill sampling, leading to the recommendation for eight vertical and two directional additional boreholes.

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“…Therefore, the dam working state cannot be explained essentially from the mechanical concept. However, the above problems can be better solved in the hybrid model [26].…”

Section: Introductionmentioning

confidence: 99%

Application of Spatiotemporal Hybrid Model of Deformation in Safety Monitoring of High Arch Dams: A Case Study

Shao

et al. 2020

IJERPH

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As an important feature, deformation analysis is of great significance to ensure the safety and stability of arch dam operation. In this paper, Jinping-I arch dam with a height of 305 m, which is the highest dam in the world, is taken as the research object. The deformation data representation method is analyzed, and the processing method of deformation spatiotemporal data is discussed. A deformation hybrid model is established, in which the hydraulic component is calculated by the finite element method, and other components are still calculated by the statistical model method. Since the relationship among the measuring points is not taken into account and the overall situation cannot be fully reflected in the hybrid model, a spatiotemporal hybrid model is proposed. The measured values and coordinates of all the typical points with pendulums of the arch dam are included in one spatiotemporal hybrid model, which is feasible, convenient, and accurate. The model can predict the deformation of any position on the arch dam. This is of great significance for real-time monitoring of deformation and stability of Jinping-I arch dam and ensuring its operation safety.

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A hybrid fuzzy zoning approach for 3-dimensional exploration geotechnical modeling: a case study at Semilan dam, southern Iran

Cited by 7 publications

References 65 publications

Organic food market segmentation based on the neobehavioristic theory of consumer behavior

Organic food market segmentation based on the neobehavioristic theory of consumer behavior

A Multi-Objective Approach for Optimizing the Layout of Additional Boreholes in Mineral Exploration

Application of Spatiotemporal Hybrid Model of Deformation in Safety Monitoring of High Arch Dams: A Case Study

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