Optimal location selection for installation of surface water treatment plant by Gini coefficient-based analytical hierarchy process

Baidya

2021

Neural Comput & Applic

Self Cite

In this investigation, we have put forward a novel multi-criteria decision-making (MCDM) technique, intuitionistic fuzzy best-worst method (intuitionistic fuzzy BWM). Moreover, we have designed a novel hybrid MCDM technique called intuitionistic fuzzy best-worst analytic hierarchy process (intuitionistic fuzzy BWAHP) which is the amalgamation of intuitionistic fuzzy BWM and analytic hierarchy process (AHP). In this study, BWM finds its use to evaluate the weightage (or priority value) of criteria, and using AHP, the local weights of alternatives are decided. The proposed technique is utilized to recognize the most significant alternative (or indicator), for the efficiency of a water treatment plant. Observing the result, it can be said that the 'water quality' is the most responsible alternative. The consistency ratio value which is found by our proposed method is less, compared to the existing BWM and fuzzy BWM techniques. Finally, using a comparative study and sensitivity analysis, we verify the findings produced by our proposed method.

Section: Discussionsupporting

confidence: 86%

Application of novel intuitionistic fuzzy BWAHP process for analysing the efficiency of water treatment plant

Baidya

2021

Neural Comput & Applic

Self Cite

Proceedings of the Institution of Mechanical Engineers, Part B:

“…The relative significance between the two criteria is evaluated based on the numerical scale of 1 to 9 as depicted in Table 1. 46 In AHP method the number of evaluation criteria should never exceed nine, it because of following reasons -(i) Following the study published by George A Miller with the limits of capacity for human toward information processing. 47 (ii) As per Saaty and Ozdemir, the number of pair wise comparisons increases with the number of criteria, it is n 2 À n À Á =2: For nine criteria the number of comparisons will be 36.…”

Section: Parametric Analysis Using Topsis and Vikormentioning

confidence: 99%

Optimum performance evaluation during machining of Al6061/cenosphere AMCs using TOPSIS and VIKOR based multi-criteria approach

Dey

Shrivastav

Kumar

2021

Selection of optimal processing condition is an issue associate with multi-criteria decision making (MCDM) which can be influenced by several conflicting processing variables. The present study have been devoted to the implementation of TOPSIS algorithm in coordination with the VIKOR technique to yield an optimistic processing criteria while machining of metal matrix composites under electro-discharge machining process. A decision-making module has been developed for selection of optimum processing conditions under specified machining conditions. An experimental investigation was performed based on Taguchi’s orthogonal array on the newly prepared AA6061-cenosphere MMCs to analyze the sensitivity of EDM attributes to the process parameters such as peak current, pulse on time, the percentage of reinforcement, and flushing pressure. The weighing factors for the criteria were determined using AHP method. The results concluded that both the applied MCDM approaches, TOPSIS and VIKOR accrue the similar possible optimal solution having optimal value of pulse current 10 A, pulse on time 1010 µs, percentage of reinforcement as 2% and flushing pressure as 0.6 MPa.

Mathematical Problems in Engineering

“…It has been developed much in MCDM fields. Also, it is widely used in the selection site of surface water [42], coherency identification of generators [43], and water resource evaluation [44]. is paper evaluates liveable cities based on the Gini coefficient.…”

Section: Difference Ratiomentioning

confidence: 99%

Evaluating Sustainable Liveable City via Multi-MCDM and Hopfield Neural Network

Chen

2020

Research on liveable cities has received increased attention in recent years because of the complexity and diversity of liveability standards. Evaluating the liveable environment is a multiple criteria decision-making (MCDM) problem, and the results can be used to control environmental pollution and protect human health. However, different evaluation methods can lead to different results; hence, determining how to effectively to obtain the consistent results is a main consideration of this study. The objective of this work is to design an optimal method based on the difference ratio concept. A hopfield neural network is selected to validate the experimental results. Referring to the liveable city rankings established by the Economist Intelligence Unit, thirteen large cities in China are used to illustrate the application of the model, evaluate the liveable urban environment, and demonstrate the effectiveness and feasibility of the proposed model. The results show that Hangzhou is the most liveable city and Beijing has the worst liveable urban environment. Therefore, a common policy should be strengthening environmental governance, with a special focus on the development of low-carbon cities, for which both the local and global environmental impacts could be mitigated.