An application of OWA operators in fuzzy business diagnosis

Vigier, Hernn P.; Scherger, Valeria; Terceño, Antonio

doi:10.1016/j.asoc.2016.06.026

Cited by 20 publications

(6 citation statements)

References 49 publications

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“…The OWA models the linguistically effective spatial aggregation method using the fuzzy decision rules. Between the minimum and the maximum, the OWA provides a parameterized class of multi-criteria aggregation operators [64]. For a given set of n criterion (attribute) maps, an OWA operator can be defined as the following function OWA : I n → I , where I = [0, 1] that is associated with a set of order weights V = [v 1, v 2, .…”

Section: Spatial Aggregationmentioning

confidence: 99%

A Multiple Geospatial Approach for Intangible Cultural Heritage Tourism Potentiality Mapping in Iran

Feizizadeh,

Fathi,

Ghasmeizad Gonbad

et al. 2023

Sustainability

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Intangible cultural heritage has recently emerged as an important sector of sustainable tourism development programs. In this regard, the main objective of this study was to map and examine the capability of different cities in Iran for intangible cultural heritage (ICH) tourism. For the methodological perspective, we employed an integrated geographical information system (GIS) and multi-criteria decision analysis (MCDA) as efficient geospatial approaches for intangible tourism potentiality assessment. Regarding this goal, we concluded that Iranian pastoral nomads have a number of unique characteristics that are suitable to international tourists from a geographical, social, cultural, and artistic perspective. From the methodological framework, we employed an integrated geographical information system and multiple geospatial approaches for analyzing the ICH features and intangible tourism potentiality assessment. The methodological framework includes several major steps, including (a) the selection of the criteria and preparation of a GIS dataset, as well as standardization; (b) criteria weighting and sensitivity analysis; and finally, (c) criteria aggregation and production of the final ICH maps. The results of this study indicated that there is a very high capability of intangible and cultural tourism and heritage in different parts of the country, which are variable based on the local customs, traditions, events, and cultural characteristics. As the results indicated, the highest level of the ICH potentiality was found in Urmia, Khoy, Tabriz, Mashhad, Shiraz, Isfahan, Dezful, and Kashan. These cities are ranked based on the overall capability and contribution of the national intangible tourism potentiality assessment. The results of this study indicated that Iran has indeed remarkable ICH capabilities that can be used as the base of efficient sustainable development programs. However, due to international sanctions and political issues, developing a sustainable tourism program has already faced critical challenges. Based on the results, we concluded that the information obtained from this study leads local stakeholders, decision-makers, and authorities to identify the potentiality of each area and take into account developing tourism plans. In addition, the obtained information will also support readers, international travelers and tourism agencies to understand the potentiality of each area, as well as the suitability of different areas for intended travel objects, and to develop tourism programs and plans.

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Section: Spatial Aggregationmentioning

confidence: 99%

A Multiple Geospatial Approach for Intangible Cultural Heritage Tourism Potentiality Mapping in Iran

Feizizadeh,

Fathi,

Ghasmeizad Gonbad

et al. 2023

Sustainability

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“…Many authors [38][39][40][41][42] have used the OWA operator since its introduction by Yager [14]. The OWA operator will provide us with a series of aggregation operators that are established between the minimum and the maximum.…”

Section: Owa Operatormentioning

confidence: 99%

Fuzzy Branch-and-Bound Algorithm with OWA Operators in the Case of Consumer Decision Making

et al. 2021

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The ordered weighted averaging (OWA) operator is one of the most used techniques in the operator’s aggregation procedure. This paper proposes a new assignment algorithm by using the OWA operator and different extensions of it in the Branch-and-bound algorithm. The process is based on the use of the ordered weighted average distance operator (OWAD) and the induced OWAD operator (IOWAD). We present it as the Branch-and-bound algorithm with the OWAD operator (BBAOWAD) and the Branch-and-bound algorithm with the IOWAD operator (BBAIOWAD). The main advantage of this approach is that we can obtain more detailed information by obtaining a parameterized family of aggregation operators. The application of the new algorithm is developed in a consumer decision-making model in the city of Barcelona regarding the selection of groceries by districts that best suit their needs. We rely on the opinion of local commerce experts in the city. The key advantage of this approach is that we can consider different sources of information independent of each other.

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“…Las aplicaciones teóricas van dirigidas al desarrollo de nuevos algoritmos y a la integración de métodos para la ordenación de la información. Dentro de las aplicaciones y algoritmos desarrollados se destacan los hechos en el campo de los estudios empresariales, que abordan temas relacionados con las finanzas (Gil-Aluja, 1996;Merigó & Gil-Lafuente, 2010;2006), estrategia (Wei & Merigó, 2012;Merigó & Gil-Lafuente 2008;Merigó & Casanovas, 2010;Vigier et al, 2017;Merigó, 2015), emprendimiento (Blanco-Mesa et al, 2015; 2018a), grupos de interés (Llopis & Palacios-Marqués, 2017;Blanco-Mesa et al, 2018b;2018c), gestión de los recursos humanos (Merigó & Gil-Lafuente, 2011;Canós et al, 2014;Canós & Liern, 2008), gestión del riesgo empresarial (Blanco-Mesa et al, 2019) y mercadeo (Brijs et al, 2006). Estos estudios hacen importantes aportaciones metodológicas para el tratamiento de información proveniente de tomadores de decisiones siendo capaz de parametrizar su actitud y sus preferencias.…”

Section: El Operador Owa Como Método Para La Toma De Decisionesunclassified

Toma de Decisiones Estratégicas en Entornos Inciertos

Blanco‐Mesa

León‐Castro

Acosta-Sandoval

2020

RMCE

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El proceso de toma de decisiones tiene una incidencia relevante en los resultados de las empresas, lo que ha llevado a desarrollar novedosos métodos que permitan evaluar bajo condiciones no controlables elementos subjetivos y racionales. En ese sentido, el objetivo principal de este trabajo estudia los operadores de agregación en la toma de decisiones en entornos inciertos. Se presentan dos metodologías que permiten agregar información, que se llaman operadores OWA y BON-OWA. La aplicación de estos operadores se realiza en la selección de lanzamiento de nuevos productos. La principal ventaja de estos operadores es que permiten capturar la actitud del decisor y la comparación e interrelación continua de la información. Así, se destaca el análisis holístico que ofrecen estos métodos sobre la toma de decisiones en incertidumbre, que permite integrar conceptos de la teoría administrativa y la teoría de la agregación en un caso aplicado, visualizando como la inclusión de la información genera cambios dentro de los rankings de selección de alternativas.

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An application of OWA operators in fuzzy business diagnosis

Cited by 20 publications

References 49 publications

A Multiple Geospatial Approach for Intangible Cultural Heritage Tourism Potentiality Mapping in Iran

A Multiple Geospatial Approach for Intangible Cultural Heritage Tourism Potentiality Mapping in Iran

Fuzzy Branch-and-Bound Algorithm with OWA Operators in the Case of Consumer Decision Making

Toma de Decisiones Estratégicas en Entornos Inciertos

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