A robust fuzzy hybrid MCDM ranking method for optimal selection of lithium extraction process from brine and seawater

This paper is based on a project of developing small and medium-sized enterprises in South Khorasan, Iran. A combination of multiple criteria decision making and robust multi-objective optimization is used for prioritizing industrial clusters and optimally assigning governmental funds. First, criteria for evaluating clusters are weighted using the best-worst method and clusters are prioritized using the VIKOR method. Second, governmental funding is assigned to the highest priority cluster using robust multi-objective mathematical programming. An innovative method is applied to identify the solution of the Pareto-front with the highest efficiency. In a case study from South Khorasan, computational results show that international market share attraction is the most important criterion and the age of the cluster is the least important criterion in the development of the industrial clusters. The cluster defined for barberry and jujube fruits is determined to be the first-ranked cluster. Most of the total available budget for the development of this cluster is assigned to action plans for marketing and trade development and for investment and financial planning. The proposed methodology thus successfully aided the decision makers to plan their work regarding funding of industrial clusters. We believe that the methodology can be applied as a general tool to help managers of industrial development to better assign governmental funding to develop industrial clusters.

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“…The robustness of the choices made by VIKOR is then evaluated using a method used by Mir et al. ( 2021 ).…”

Section: Methodsmentioning

confidence: 99%

Multiple criteria decision making and robust optimization to design a development plan for small and medium-sized enterprises in the east of Iran

2023

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“…The GIS tool was used to analyze and compare alternative routes based on variables such as route length, building buffer area, and tree area. Additionally, speed and delay studies were conducted on all selected routes using various modes of transportation to determine total travel time, including all types of delay and impact of side friction on roads, 2 this variable was also included in the evaluation using the fuzzy TOPSIS technique and the results are validated with another MCDM method EADS 3,4 …”

Section: Methodsmentioning

confidence: 99%

Evaluation of optimal route selection for public transport network routes on urban roads using Fuzzy‐TOPSIS method

Madhu,

Rajakumara,

Kangda

et al. 2023

Engineering Reports

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In developing countries such as India, Bengaluru city has experienced extraordinary growth in vehicle traffic on arterial roads, causing intersections to operate over capacity under mixed traffic conditions. The speed on urban streets in central business district areas is lower than 15 kmph during peak hours. One of the main routes connecting the airport to the central business district is also vulnerable to this problem. Therefore, providing an alternative route to divert traffic from the mainstream is critical. This study's main goal is to identify alternate routes from Majestic to the airport using remote sensing and a geographic information system, and then evaluate those alternates using the Fuzzy‐TOPSIS approach. This study has used the GIS Arc software application to select the alternative while taking numerous factors such as time, speed, distance, environmental impact, and economic feasibility into consideration. The video graphic and moving car observer methods have been used for the extraction of data for the inventory of the existing route, while the geo image processing tool has been used to analyze alternative routes in the Bengaluru metropolitan area (BMA). The analysis has shown that the alternative route has a lesser travel time of 2 h 30 min in public transit and 1 h 30 min in private mode. The future scope of the study is to compare the alternative and the most suitable routes to divert traffic. Another public transport route network could be developed to minimize the external incoming vehicles in BMA, particularly to reach the airport on urban roads under heterogeneous traffic conditions.

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Extended ELECTRE I, II Methods with Multi-polar Fuzzy Sets

Akram,

Adeel

2023

Multiple Criteria Decision Making Methods With Multi-Polar Fuzzy Information

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A robust fuzzy hybrid MCDM ranking method for optimal selection of lithium extraction process from brine and seawater

Cited by 18 publications

References 74 publications

Multiple criteria decision making and robust optimization to design a development plan for small and medium-sized enterprises in the east of Iran

Multiple criteria decision making and robust optimization to design a development plan for small and medium-sized enterprises in the east of Iran

Evaluation of optimal route selection for public transport network routes on urban roads using Fuzzy‐TOPSIS method

Extended ELECTRE I, II Methods with Multi-polar Fuzzy Sets

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