Fuzzy Location Selection Techniques

Kahraman, Cengiz; Çebı, Selçuk; Tüysüz, Fatih

doi:10.1007/978-3-642-12052-7_14

Cited by 7 publications

(5 citation statements)

References 107 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Therefore, integrating the fuzzy set theory with the AHP method may help to make the assessment process more flexible and suitable for decision makers' imprecise nature of preferences (Kahraman et al 2010). The main idea behind fuzzy AHP is to use linguistic statements, which are represented by TFNs instead of crisp numbers, in the pairwise comparison.…”

Section: The Fuzzy Ahp Methodsmentioning

confidence: 99%

“…Chen (2000) extends the TOPSIS method to fuzzy group decision making situations using TFNs and calculating crisp Euclidean distance between two fuzzy numbers. The steps of this method are briefly explained below (Chen 2000;Kahraman et al 2010):…”

Section: The Fuzzy Topsis Methodsmentioning

confidence: 99%

“…The integration of fuzzy AHP and fuzzy TOPSIS methods have been successfully implemented in various fields such as performance evaluation (Sun 2010), facility location selection (Kahraman et al 2010), quantifying risks in a supply chain (Samvedi et al 2013), handling equipment selection (Yazdani-Chamzini 2014), construction project selection and risk assessment (Taylan et al 2014), intelligent building assessment (Kaya, Kahraman 2014), ERP system selection (Efe 2016), etc.…”

Section: Supplier Selection Process and Previous Studies In Supplier mentioning

confidence: 99%

“…Fuzzy set theory is a powerful tool for reflecting human reasoning and handling uncertainty and incomplete information when generating decisions (Wong, Lai 2011). Therefore, integrating the fuzzy set theory with multi-criteria-decision-making (MCDM) methods may help to make the assessment process more flexible and suitable for decision makers' imprecise nature of preferences (Kahraman et al 2010).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Integrated Fuzzy McGDM Approach for Supplier Selection Problem

Polat

Eray

Bingol

2017

Journal of Civil Engineering and Management

View full text Add to dashboard Cite

Abstract. Materials constitute a large proportion of the total project cost and the absence of right materials in the right quantities and quality on site when needed is one of the most commonly experienced causes of delays in construction projects. Although supplier selection is a strategic issue, contractors generally select suppliers based on their past experiences, which may result in selecting wrong suppliers. Supplier selection decision is generally made by multiple decision makers and is affected by several criteria. Therefore, selecting the right supplier among many alternatives considering several compromising and conflicting criteria is a multi-criteria group decision-making (MCGDM) problem. This paper proposes an integrated fuzzy MCGDM approach, which employs fuzzy analytic hierarchy process (AHP) and fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) together, for the supplier selection problem. In the proposed approach, fuzzy AHP is used to analyse the structure of the supplier selection problem and to determine the weights of the criteria, and the fuzzy TOPSIS method is employed to rank the alternative suppliers. The proposed approach is applied to a problem of selecting the most appropriate rail supplier and company management found the proposed decision approach satisfactory and implementable in future supplier selection problems.

show abstract

Section: The Fuzzy Ahp Methodsmentioning

confidence: 99%

Section: The Fuzzy Topsis Methodsmentioning

confidence: 99%

Section: Supplier Selection Process and Previous Studies In Supplier mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Integrated Fuzzy McGDM Approach for Supplier Selection Problem

Polat

Eray

Bingol

2017

Journal of Civil Engineering and Management

View full text Add to dashboard Cite

show abstract

“…Estudios recientes han analizado y evaluado las cadenas de suministro desde la perspectiva de selección de posibles zonas idóneas, analizando cada uno de sus eslabones en estudios independientes como el establecimiento de cultivos, centros de distribución, puntos de venta, terminales, etc. (Kahraman, Cebi and Tuysuz, 2010;Shukla, Hota and Shukla, 2017), mediante la incorporación de métodos MCDA (Multiple Criteria Decision Analysis) que consideran múltiples criterios cuantitativos y cualitativos para apoyar la toma de decisiones de determinado problema y su implementación con herramientas GIS (Geographical Information Systems) que juegan un papel importante en este tipo de análisis, posibilitando combinar datos y criterios geográficos, con juicios de valor (calificación de los expertos).…”

Section: Introductionunclassified

Evaluación espacial de zonas potenciales de centros de distribución de cafés especiales, caso del Departamento de Nariño - Colombia

Chaves

Molina

Pastrana

2022

reveia

View full text Add to dashboard Cite

Los cafés especiales del Departamento de Nariño han sido reconocidos mundialmente por su excelente calidad, pero se han visto afectados por el inadecuado manejo del producto en su cadena de suministro, específicamente en las zonas donde se almacena, repercutiendo directamente en sus atributos diferenciales, por lo cual se presenta un acercamiento de resolver el problema de selección y ubicación de posibles zonas potenciales, para el establecimiento de un centro de distribución. En el presente estudio se aplicó un enfoque de toma de decisiones con criterios múltiples (MCDA), específicamente el proceso de jerarquía analítica (AHP) y combinación lineal ponderada (WLC), con la incorporación de criterios geográficos y su implementación en herramientas GIS (Geographical Information Systems). Se evaluaron 38 alternativas posibles (Municipios Productores), mediante criterios previamente identificados con la ayuda de expertos: producción Municipal, conectividad vial y temperaturas medias. Como resultado se obtuvo un mapa a nivel Departamental de posibles zonas potenciales y zonas inadecuadas. Como conclusión podemos afirmar que a medida que aumenta el número de criterios, implica mayor complejidad para la toma de decisiones. En detalle se describen los métodos, criterios y conjuntos de datos utilizados, resultados obtenidos y discusión, finalmente las conclusiones más significativas.

show abstract