TOPSIS and AHP Model in the Application Research in the Evaluation of Coal
Aimed at the question of how to evaluate the coal quality, east Shenhua produced sales at shenhua group coal quality index data as the research object, using TOPSIS and AHP and combined two methods, through constructing the relative deviation matrix to de
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Abstract. Aimed at the question of how to evaluate the coal quality, east Shenhua produced sales at shenhua group coal quality index data as the research object, using TOPSIS and AHP and combined two methods, through constructing the relative deviation matrix to determine the index weight, and gives the comprehensive sequencing of various kinds of coal.Structure deviation matrix to determine index weight not only effectively eliminate the dimensional, make the indicators are comparable, and make due to on the basis of rational scheme to build, to achieve the optimal.On the standardiZation and normaliZation of data put forward the improvement plan, gives the computing method of interval attribute data, improving the application range of the model. Keywords: TOPSIS
AHP Coal quality index Relative deviation matrix
1 Introduction The coal industry in the modern industrial development plays an indispensable role in the process, evaluation and distinguishes between coal and coal quality is a very important topic. Several important indexes of coal: coal calorific value is calorific value of coal; It is volatile coal combustion can be volatile component; All the water is contained in coal moisture; Ash is rest after coal burning ash; Sulfur content is all the sulfur content in coal (pollution indicators) [1]. The important evaluation method has two kinds big, the main difference is the method of determining the weight. One is subjective values. The method, adopt comprehensive evaluation to determine the weight information, such as the comprehensive index method, AHP (analytic hierarchy process), the efficacy coefficient method;, another kind is objectively according to the correlation between each index or variation in Chengdu to determine weights, such as factor analysis, principal component analysis (pca), TOSPSIS (ideal solution), etc. Relative deviation matrix constructed in TOSPSIS model by using AHP, through data related to determine the weight among indicators. Shenhua east produced sales at Table 1. Shenhua group the east Shenhua produced coal quality index of coal sales, and judging all kinds of coal quality and coal sort [2]. © Springer International Publishing Switzerland 2016 D.-S. Huang et al. (Eds.): ICIC 2016, Part I, LNCS 9771, pp. 145–152, 2016. DOI: 10.1007/978-3-319-42291-6_14
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G. Yang et al. Table 1. The east Shenhua produced coal quality index of coal sales
Category
Breed name
A
Fine piece 2 Fine piece 3 Fine piece 4 Very low ash SH optimal 2 SHmix1-5500 SHmix12-5200 SHmix 5000 SHmix 3-4800 SHmix 4-4500 SHmix 5-4200 SHmix 6-3800 outsourcing1-5500 outsourcing2-5200 outsourcing 5000 outsourcing3-4800 outsourcing4-4500 outsourcing5-4200 outsourcing6-3800 anthracites 1-5500 anthracites 2-5200 anthracites 3-4800 anthracites 4-4500 anthracites 5-4200 anthracites 6-3800
B
C
D
A1 A2 A3 A4 A5 B1 B2 B3 B4 B5 B6 B7 C1 C2 C3 C4 C5 C6 C7 D1 D2 D3 D4 D5 D6
Z1 Qnet,ar ≥5600 ≥5500 ≥5900 ≥5900 ≥5650 ≥5500 5200-5499 5000-5199 4800-4999 4500-4799 4200-4499 〈4200 ≥5500 5200-5499 5000-5199 4800-4999 4500
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