The study of a fuzzy set theory for the selection of an optimum coal transportation system from pit to the power plant

Başçetin, Ataç; Kesimal, Ayhan

doi:10.1080/09208119908944224

Cited by 23 publications

(8 citation statements)

References 20 publications

(7 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Modified the Nicholas' system and developed the UBC mining method selection process [5]. Used Yager's [6] method for selection of an optimum coal transportation system from pit to the power plant [7]. Used Yager's method and AHP method for mining method selection [8].…”

Section: Literature Surveymentioning

confidence: 99%

Selection of Thick Coal Seam Mining Method Using Analytic Hierarchy Process

Yetkin¹,

Özfırat²

2019

ITEGAM- Journal of Engineering and Technology for Industrial Applications (Itegam-Jetia)

View full text Add to dashboard Cite

In thick coal seams, it is very important to select the correct mining method. Choosing a wrong method may be very costly to the company. All the factors affecting the mining method and the relations in between should be considered. When there are many factors under consideration, Analytic Hierarchy Process (AHP) is a very useful tool to analyze them. By use of AHP, errors that show up in conventional methods are minimized. In this study AHP is employed to select the mining method in a thick coal seam. The proposed approach starts with identifying the alternative mining methods that are applicable in thick coal seams. Then all the criteria affecting the mining method and the relations between them are defined by experts of the system. Finally AHP is used to find the method with the highest performance according to the selection criteria defined. Within this study the highest performance scores belong to Multi-slice retreatment longwall with filling (M4), Multi-slice retreatment longwall with caving (M3), Multi-slice advanced longwall with filling (M2) and Room and pillar (M9).

show abstract

Section: Literature Surveymentioning

confidence: 99%

Selection of Thick Coal Seam Mining Method Using Analytic Hierarchy Process

Yetkin¹,

Özfırat²

2019

ITEGAM- Journal of Engineering and Technology for Industrial Applications (Itegam-Jetia)

View full text Add to dashboard Cite

show abstract

“…The foundation behind using weights as exponents is that the higher the importance of criteria, the larger the exponent giving the minimum rule. Equally, the less important a criterion the smaller its weight for α > 0 (Bascetin & Kesimal 1999): …”

Section: Multiple Criteria Decision-makingmentioning

confidence: 99%

Optimal mining method selection for Nchanga’s Upper Orebody using analytic hierarchy process and Yager’s method

Kabwe

2017

Mining Technology

View full text Add to dashboard Cite

Selection of an appropriate method of extraction is the basis of an underground mining operation. Primarily in the present market with decreasing metal prices, selecting an optimal mining method means a difference between a viable and a nonviable project. Importantly, a feasible mining method increases the safety of employees and production efficiency. In this paper a numerical ranking mining method selection technique and two simple applicable multiple attribute decision-making methods are applied. These are the analytic hierarchy process and fuzzy multiple attribute decision-making. These methods have been employed to select the optimal underground mining method for the Upper Orebody at Nchanga mine in Zambia. Results from the numerical ranking mining method selection technique considered Cut and fill as the appropriate mining method. The multiple attribute decision-making methods accurately defined the feasible mining method. Both the analytic hierarchy process model and Yager's method considered Sublevel caving as the optimal mining method for Nchanga's Upper Orebody.

show abstract

“…Its use in issues related to the process of mining, as well as in underground and surface mines, has been described inter alia in (Benović et al, 2013;Vujic et al, 2011;Bazzazi et al, 2009;Grychowski, 2008;Bascetin & Kesimal, 1999;Nguyen, 1985;Hosseini et al, 2012;Dezyani et al, 2006;Li, 2009;Razani et al, 2013;Karadogan et al, 2008).…”

Section: Designing Of Mining Processmentioning

confidence: 99%

The Use of Fuzzy Systems in the Designing of Mining Process in Hard Coal Mines

Brzychczy¹,

Kęsek²,

Napieraj³

et al. 2014

Archives of Mining Sciences

View full text Add to dashboard Cite

This article presents examples of solutions supporting the design of certain elements of the mining process in coal mines. The focus is on two fuzzy systems: the first supports the selection of equipment for longwall faces (FSES); and the second supports the estimation of production results (FSOE). System FSES generates proposals for equipment in designed longwall faces. The module of fuzzing in this system enables a fuzzing operation for the following quantitative variables: longwall length; longwall height; longitudinal and crosswise incline of the longwall, workability of the coal and thickness of rock vein in a given section of the longwall. The knowledge base includes over 100 fuzzy rules indicating possible options for equipment under specified site conditions. After a proposal of equipment is generated, it is then possible to insert the values obtained into the second system FSOE, which estimates output for a given shift time using the chosen parameters. The module of fuzzing in system FSOE includes 9 variables, which are crucial in determining shift output for the given longwall face. The knowledge base in this system contains over 2000 rules.As a result of the operation of both systems, the designer receives both a proposal of equipment for the designed longwall face and the size of shift output under the given conditions. Operation of the two systems has been presented using a case study.Keywords: coal mine, mining process, fuzzy logic, fuzzy systems, modelling Logika rozmyta pozwala na płynne i stosunkowo dokładne opisanie istotnych zależności pomiędzy zmiennymi o charakterze nieprecyzyjnym lub mało dokładnym, które są danymi wejściowymi do procesu projektowania. Prowadzony przez system rozmyty proces wnioskowania na podstawie zapisanych w bazie wiedzy reguł pozwala na uogólnienie posiadanej przez projektantów wiedzy, a także prowadzenie wnioskowania w sposób zbliżony do rozumowania eksperta.W artykule zaprezentowano przykłady opracowanych rozwiązań wspomagających projektowanie wybranych elementów procesu wydobywczego w kopalniach węgla kamiennego. Przedstawiono dwa systemy rozmyte, pierwszy wspomagający dobór wyposażenia do projektowanych wyrobisk ścianowych (FSES) oraz drugi wspomagający szacowanie wyników produkcyjnych (FSOE). 742System FSES umożliwia wyznaczenie propozycji wyposażenia dla projektowanych wyrobisk ścianowych. Moduł rozmywania w tym systemie umożliwia przeprowadzenie operacji rozmycia nastę-pujących zmiennych ilościowych: długość ściany, wysokość ściany, nachylenie podłużne i poprzeczne ściany, urabialność węgla oraz grubość przerostów w przekroju ściany. Baza wiedzy obejmuje ponad 100 reguł rozmytych wskazujących w konkluzjach możliwe do zastosowania wyposażenie, w określonych warunkach wyrobiska.Po wyznaczeniu proponowanego wyposażenia, możliwe jest wprowadzenie otrzymanych wartości do drugiego systemu FSOE, który umożliwia oszacowanie wydobycia zmianowego dla zadanych parametrów. Moduł rozmywania systemu FSOE obejmuje 9 zmiennych, które konieczne są do wyznaczenia wydobycia zmian...

show abstract

The study of a fuzzy set theory for the selection of an optimum coal transportation system from pit to the power plant

Cited by 23 publications

References 20 publications

Selection of Thick Coal Seam Mining Method Using Analytic Hierarchy Process

Selection of Thick Coal Seam Mining Method Using Analytic Hierarchy Process

Optimal mining method selection for Nchanga’s Upper Orebody using analytic hierarchy process and Yager’s method

The Use of Fuzzy Systems in the Designing of Mining Process in Hard Coal Mines

Contact Info

Product

Resources

About