Using the Analytic Hierarchy Process to identify parameter weights for developing a water quality index

Sutadian, Arief Dhany; Muttil, Nitin; Yilmaz, Abdullah Gokhan; Perera, B. J. C

doi:10.1016/j.ecolind.2016.12.043

Cited by 163 publications

(94 citation statements)

References 55 publications

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“…Decisions in start-ups and top management nowadays often involve multiple criteria or objectives. The analytic hierarchy process (AHP), founded by [46], is one widely used decision-making procedure for establishing priorities in multi-criteria decision problems [47], [48] due to its simplicity, ease of use, and great flexibility. The AHP consists of an eigenvalue approach to pairwise comparisons, which provides a numeric scale for the measurement of quantitative as well as qualitative performance.…”

Section: Methodsmentioning

confidence: 99%

How to Design a Successful Digital Product? An Analytic Hierarchy Process (AHP) Analysis of Expert Opinions from the Berlin Start-up Scene

Azka¹,

Chankov

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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Designing the best digital product is vital for the competitiveness of any organization. Thus, this paper aims to determine the critical success design factors and to create guidelines for start-up founders, product managers, designers and entrepreneurs on how to design a successful digital product. To this end, six key design factors and 24 respective sub-factors were identified based on literature and expert opinions. Further, 21 experts were surveyed regarding their priorities on these factors, using the analytic hierarchy process (AHP). The results suggest that high-level planning design is the most important success factor, while having clear product vision, discovery, strategy and goals, building a great user experience, and creating an aesthetic user interface are the top three priority sub-factors for successful digital products.

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Section: Methodsmentioning

confidence: 99%

How to Design a Successful Digital Product? An Analytic Hierarchy Process (AHP) Analysis of Expert Opinions from the Berlin Start-up Scene

Azka¹,

Chankov

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…The index proposed by Bascaron [13] presents normalization of the parameters seeking to balance the influence of each one on the final value of the index. In addition, it is a very flexible index in addition of other parameters [9,[13][14][15].…”

Section: Advances In Environmental Monitoring and Assessmentmentioning

confidence: 99%

Evaluation of Water Quality Indices: Use, Evolution and Future Perspectives

Garcia¹,

Silva²,

Mendonça³

et al. 2019

Advances in Environmental Monitoring and Assessment

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The evaluation of the quality of water bodies is of fundamental importance to the study and use of water. Aiming to improve the understanding of the phenomena which occur in these environments, several indices have been proposed over the years, using several statistical, mathematical and computational techniques. For this, it is necessary to know the variables which influence different water bodies. However, not all places are able to make the most diverse analyses due to the financial and sanitary conditions, which can promote greater expenses in treatment as well as make the limits of tolerance of the water quality higher. Nowadays, there is a need to formulate indices which can address climate change in its variables, making it even closer to reality. In this context, seeking to reduce the number of variables used, collection costs, laboratory analyses and a greater representativeness of the indices, multivariate statistical techniques and artificial intelligence are being increasingly used and obtaining expressive results. These advances contribute to the improvement of water quality indices, thus seeking to obtain one which portrays the various phenomena which occur in water bodies in a more rapid and coherent way with the reality and social context of water resources.

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“…morbilidad). Para reducir la subjetividad en la asignación de los pesos, Sutadian et al (2017) recomiendan adoptar un proceso de jerarquía analítica ideado por Satty en 1980. Este método sin embargo recopila los juicios basándose en pensamientos, experiencias y conocimiento de los participantes, por tanto igual a los demás métodos existe subjetividad, por otro lado se puede aplicar con diferentes escalas de puntuación por lo que se pueden obtener pesos distintos.…”

Section: Discusión Finalunclassified

Análisis Comparativo de Índices de Calidad del Agua Aplicados al Río Ranchería, La Guajira-Colombia

Pérez

Nardini²,

Galindo

2018

Inf. tecnol.

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_____________________________________________________________________________________________________________________________________ ResumenEste artículo compara diversos índices de calidad del agua (ICA) aplicados en 235,3 km del río Ranchería, La Guajira-Colombia. La comparación de los ICA se realizó directamente con los valores numéricos de los índices discretizados en cinco rangos iguales (índices brutos) y con sus calificaciones, es decir los juicios ambientales (también en cinco clases) asociados a esos valores. La coherencia entre parejas de índices se analizó en ambos casos con el coeficiente de correlación de Spearman y la raíz del error cuadrático medio (RMSE). Se obtuvo mayor coincidencia, mejor correlación y menores desviaciones en el caso de los índices brutos. Este hecho evidencia la carencia de la relación entre los valores de los índices y su calificación. Se determina por tanto la necesidad de llevar a cabo un ejercicio de intercalibración para asegurar la coherencia entre los distintos índices. Palabras AbstractThis paper compares several water quality indices applied along 235.3 km of the river Ranchería, La Guajira-Colombia. The comparison directly adopts the values of the indices discretized in five equal intervals (raw indices), and, on their scoring, this is the environmental judgments (also in five classes) associated with such indices. The coincidence between couples of indices is analyzed, in both cases, through the correlation coefficient of Spearman and the Root Mean Square Error (RMSE). The results state that raw indices perform higher coincidence, better correlation and lesser deviations than do scorings. This fact stresses the weakness of the relation between the value of the indices and their qualification. It is necessary to carry out an intercalibration exercise in order to consistently gear the different indices.

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Using the Analytic Hierarchy Process to identify parameter weights for developing a water quality index

Cited by 163 publications

References 55 publications

How to Design a Successful Digital Product? An Analytic Hierarchy Process (AHP) Analysis of Expert Opinions from the Berlin Start-up Scene

How to Design a Successful Digital Product? An Analytic Hierarchy Process (AHP) Analysis of Expert Opinions from the Berlin Start-up Scene

Evaluation of Water Quality Indices: Use, Evolution and Future Perspectives

Análisis Comparativo de Índices de Calidad del Agua Aplicados al Río Ranchería, La Guajira-Colombia

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