An integrated approach for aquifer vulnerability mapping using GIS and rough sets: study from an alluvial aquifer in North India

PurposeThis research focuses on suggesting an optimized model for selecting best employees using advanced multi-criteria decision making method to a supply chain firm, who is planning to start a new cold chain business vertical.Design/methodology/approachStudy has been conducted in a supply chain firm in North India, who wants to expand its business with the help of efficient team members. In total 38 applicants were considered for the study, as selected by the firm after initial screening from pool of talent. AHP-LP and TOPSIS-LP integrated approach were applied separately for evaluation and implementation of personnel selection model. Further, both the approaches were compared to find the best fit and optimized model.FindingsAs per the findings, both AHP and TOPSIS can be used to select the best candidate among the alternatives available. TOPSIS was found easier to implement as it involves ranking of applicants with respect to each skills required for respective job profile only once, whereas AHP involves pair-wise comparison among candidates with respect to each skills required for respective job profile and normalization of each comparison, resulting in the formation of number of comparison matrices. However, AHP is more reliable as it considers consistency check for each level of pair-wise comparison. Hence, there is a chance to avoid or revise the human judgment error. Integrated ranking and optimization approach minimizes the cost by suggesting the relevant positions to be filed to make an efficient team.Research limitations/implicationsGroup of interviewers are involved in the decision-making process, hence there are chances of biasness in ranking method which can influence the group decision. Research is limited to a particular geography of North India therefore needs to be tested for other regions also in order to generalize. The research will help the third party logistics (3PL) and other related firms in efficient team selection.Originality/valueThe researcher focuses on formalizing a method for potential candidate selection by considering the constraints of the organization. It has been observed that limited researches have been done on the application of AHP-LP or TOPSIS-LP integrated approach for selection process. Hence, this research proposes two integrated ranking-optimization method and suggests the best fit by comparing both the approaches.

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Chemometric analysis of groundwater quality data of alluvial aquifer of Gangetic plain, North India

Analytica Chimica Acta ◽

10.1016/j.aca.2005.06.056 ◽

2005 ◽

Vol 550 (1-2) ◽

pp. 82-91 ◽

Cited By ~ 108

Author(s):

Kunwar P. Singh ◽

Amrita Malik ◽

Vinod K. Singh ◽

Dinesh Mohan ◽

Sarita Sinha

Keyword(s):

Groundwater Quality ◽

Alluvial Aquifer ◽

Chemometric Analysis ◽

North India ◽

Quality Data ◽

Gangetic Plain

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Aquifer vulnerability mapping in the Turbio river valley, Mexico: A validation study

Geofísica Internacional ◽

10.22201/igeof.00167169p.2003.42.1.367 ◽

2003 ◽

Vol 42 (1) ◽

pp. 141-156

Author(s):

José Alfredo Ramos Leal ◽

Ramiro Rodríguez Castillo

Keyword(s):

Validation Study ◽

Aquifer Vulnerability ◽

River Valley ◽

Vulnerability Mapping ◽

Del Rio

Evaluaciones de vulnerabilidad acuífera pueden realizarse mediante métodos como DRASTIC y AVI. Los mapas generados normalmente no son validados o verificados con datos de campo. Este trabajo propone alternativas de validación para mapeos de vulnerabilidad. El mapa DRASTIC del Valle del Río Turbio, en el Estado de Guanajuato, comprende un área de 1300 kmÂ². Este fue comparado con otro mapa de vulnerabilidad generado por el método AVI. Se realizó también una comparación de los parámetros DRASTIC. Se propone y justifica una modificación para el rango original para la profundidad al nivel estático DRASTIC, con un reescalamiento basado en su peso efectivo. Las tendencias de vulnerabilidad obtenidas fueron correlacionadas con información hidrogeoquímica. La distribución de valores para cloruros y SDT reflejan las áreas más vulnerables definidas por DRASTIC y AVI. Estas áreas corresponden al cauce del sistema fluvial León-Turbio. Algunas fuentes potenciales de contaminación están localizadas en zonas vulnerables. Los resultados demuestran la importancia de alternativas de validación. También muestran como en las zonas más vulnerables, solutos provenientes de fuentes de contaminación están afectando la calidad del agua subterránea.

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Fuzzy Controllers: An Integrated Approach Based on Fuzzy Logic, Rough Sets, and Evolutionary Computing

Rough Sets and Data Mining ◽

10.1007/978-1-4613-1461-5_7 ◽

1997 ◽

pp. 123-138 ◽

Cited By ~ 5

Author(s):

T. Y. Lin

Keyword(s):

Fuzzy Logic ◽

Rough Sets ◽

Evolutionary Computing ◽

Integrated Approach ◽

Fuzzy Controllers

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Assessing Spatial Flood Vulnerability at Kalapara Upazila in Bangladesh Using an Analytic Hierarchy Process

Sensors ◽

10.3390/s19061302 ◽

2019 ◽

Vol 19 (6) ◽

pp. 1302 ◽

Cited By ~ 6

Author(s):

Muhammad Hoque ◽

Saima Tasfia ◽

Naser Ahmed ◽

Biswajeet Pradhan

Keyword(s):

Analytic Hierarchy Process ◽

Integrated Approach ◽

Local Scale ◽

Mitigation Strategies ◽

Vulnerability Mapping ◽

Analytic Hierarchy ◽

Flood Vulnerability ◽

Coping Capacity ◽

Individual Vulnerability ◽

Hierarchy Process

Floods are common natural disasters worldwide, frequently causing loss of lives and huge economic and environmental damages. A spatial vulnerability mapping approach incorporating multi-criteria at the local scale is essential for deriving detailed vulnerability information for supporting flood mitigation strategies. This study developed a spatial multi-criteria-integrated approach of flood vulnerability mapping by using geospatial techniques at the local scale. The developed approach was applied on Kalapara Upazila in Bangladesh. This study incorporated 16 relevant criteria under three vulnerability components: physical vulnerability, social vulnerability and coping capacity. Criteria were converted into spatial layers, weighted and standardised to support the analytic hierarchy process. Individual vulnerability component maps were created using a weighted overlay technique, and then final vulnerability maps were produced from them. The spatial extents and levels of vulnerability were successfully identified from the produced maps. Results showed that the areas located within the eastern and south-western portions of the study area are highly vulnerable to floods due to low elevation, closeness to the active channel and more social components than other parts. However, with the integrated coping capacity, western and south-western parts are highly vulnerable because the eastern part demonstrated particularly high coping capacity compared with other parts. The approach provided was validated by qualitative judgement acquired from the field. The findings suggested the capability of this approach to assess the spatial vulnerability of flood effects in flood-affected areas for developing effective mitigation plans and strategies.

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