2019
DOI: 10.1504/ijpmb.2019.099332
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Optimisation of WEDM process parameters during machining of HCHCr steel using TOPSIS method

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Cited by 16 publications
(10 citation statements)
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“…The maximizing response variable CR and minimizing SR are considered as beneficiary and non-beneficiary attributes respectively. The positive and negative ideal solutions are nominated based on the long and short distances from ideal/best solutions [33,34]. The number of alternative solutions ('m') is 27 and the total number of attributes ('n') is 2.…”
Section: Topsis Methodsmentioning
confidence: 99%
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“…The maximizing response variable CR and minimizing SR are considered as beneficiary and non-beneficiary attributes respectively. The positive and negative ideal solutions are nominated based on the long and short distances from ideal/best solutions [33,34]. The number of alternative solutions ('m') is 27 and the total number of attributes ('n') is 2.…”
Section: Topsis Methodsmentioning
confidence: 99%
“…Step 1. the decision matrix has been framed from Box-Behnken method experimental observations by using equation (2). The response data is used to construct the response matrix [33].…”
Section: Topsis Methodsmentioning
confidence: 99%
“…The alternative which has the highest distance from the Negative Ideal Solution (NIS) and the shortest distance from Positive Ideal Solution (PIS) will be selected as best. In TOPSIS, the response parameter to be maximized is considered as the beneficial attribute, and the response to be minimized is considered as a non-beneficial attribute [58,59]. The steps of TOPSIS are explained as follows.…”
Section: Multi-objective Optimization Using Topsis Techniquementioning
confidence: 99%
“…Step 3: Weighted normalized matrix (equation 5) is calculated by assigning appropriate weights to each attribute. Always, the sum of weights should be equal to 1 [58].…”
Section: Wherementioning
confidence: 99%
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