Ranking Cloud Computing Criteria in Developing Electronic Communications Services Using MCDM

The main purpose of this study was ranking cloud computing criteria in developing electronic communications services using multiple-criteria decision analysis methodology (MCDM). This correlational research was applied in terms of purpose. Statistical population of the study included ICT experts of the steel industry in Yazd province (industrial experts), among which, 312 individuals were selected using purposeful nonprobability (judgmental) sampling method. Considering the conducted investigations and critically reviewing the related books and articles, the variables, criteria, and scales were identified using cloud computing technology. To analyze the data, MCDM and fuzzy logic calculations were utilized in Expert Choice software. According to the results and considering fuzzy calculations related to the capabilities of cloud computing in developing electronic communications services, the most important criteria in the "IT management in steel industries" cluster having (A) network code was "communicating with steel industries` costumers" having (AB) network code and fuzzy network weight equal to 0.096; the most important criteria in "cloud computing capabilities" cluster having (B) network code were "reducing steel industries` costs" having (BA) network code and fuzzy network weight equal to 0.191; and "providing rapid services to steel industries` costumers" having (BB) network code and fuzzy network weight equal to 0.120. on the other hand, the most important criteria in "developing electronic communications services" cluster having (C) network code was "storing the data in electronic communications services" having (CD) network code and fuzzy network weight equal to 0.123, since based on fuzzy logic calculation, they had the highest fuzzy rank in Matlab programming environment regarding cloud computing capabilities in developing electronic communications services

Ranking Cloud Computing Criteria in Developing Electronic Communications Services Using MCDM

The main purpose of this study was ranking cloud computing criteria in developing electronic communications services using multiple-criteria decision analysis methodology (MCDM). This correlational research was applied in terms of purpose. Statistical population of the study included ICT experts of the steel industry in Yazd province (industrial experts), among which, 312 individuals were selected using purposeful nonprobability (judgmental) sampling method. Considering the conducted investigations and critically reviewing the related books and articles, the variables, criteria, and scales were identified using cloud computing technology. To analyze the data, MCDM and fuzzy logic calculations were utilized in Expert Choice software. According to the results and considering fuzzy calculations related to the capabilities of cloud computing in developing electronic communications services, the most important criteria in the "IT management in steel industries" cluster having (A) network code was "communicating with steel industries` costumers" having (AB) network code and fuzzy network weight equal to 0.096; the most important criteria in "cloud computing capabilities" cluster having (B) network code were "reducing steel industries` costs" having (BA) network code and fuzzy network weight equal to 0.191; and "providing rapid services to steel industries` costumers" having (BB) network code and fuzzy network weight equal to 0.120. on the other hand, the most important criteria in "developing electronic communications services" cluster having (C) network code was "storing the data in electronic communications services" having (CD) network code and fuzzy network weight equal to 0.123, since based on fuzzy logic calculation, they had the highest fuzzy rank in Matlab programming environment regarding cloud computing capabilities in developing electronic communications services.El objetivo principal de este estudio fue clasificar los criterios de computación en la nube en el desarrollo de servicios de comunicaciones electrónicas utilizando la metodología de análisis de decisiones de múltiples criterios (MCDM). Esta investigación correlacional se aplicó en términos de propósito. La población estadística del estudio incluyó a expertos en TIC de la industria del acero en la provincia de Yazd (expertos industriales), entre los cuales, se seleccionaron 312 individuos utilizando el método de muestreo intencional no probabilístico (enjuiciador). Considerando las investigaciones realizadas y revisando críticamente los libros y artículos relacionados, las variables, criterios y escalas se identificaron utilizando tecnología de computación en la nube. Para analizar los datos, se utilizaron MCDM y cálculos de lógica difusa en el software Expert Choice. De acuerdo con los resultados y considerando cálculos difusos relacionados con las capacidades de la computación en la nube en el desarrollo de servicios de comunicaciones electrónicas, el criterio más importante en el clúster "Gestión de TI en industrias siderúrgicas" que tenía un código de red (A) era "comunicarse con los clientes de las industrias siderúrgicas" tener un código de red (AB) y un peso de red difusa igual a 0.096; los criterios más importantes en el clúster de "capacidades de computación en la nube" con código de red (B) eran "reducir los costos de las industrias del acero" con un código de red (BA) y un peso de red difuso igual a 0,191; y "proporcionar servicios rápidos a los clientes de las industrias del acero" con un código de red (BB) y un peso de red difuso igual a 0,120. Por otro lado, el criterio más importante en el clúster de "desarrollo de servicios de comunicaciones electrónicas" con código de red (C) era "almacenar los datos en servicios de comunicaciones electrónicas" con código de red (CD) y peso de red difuso igual a 0.123, ya que basado en cálculo de lógica difusa, tenían el rango difuso más alto en el entorno de programación Matlab con respecto a las capacidades de computación en la nube en el desarrollo de servicios de comunicaciones electrónicas