Search Results - subject:"technique for order preference by similarity to ideal solution"

Hybrid methodology for measuring the utilization of advanced manufacturing technologies using AHP and TOPSIS

Singh, Harwinder; Kumar, Raman - In: Benchmarking: An International Journal 20 (2013) 2, pp. 169-185

analytical hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) approach, which is … preference by similarity to ideal solution approach has been applied in this study. In this research work, seven factors such as … technologies. Design/methodology/approach – A hybrid methodology using analytical hierarchy process and technique for order …

Persistent link: https://www.econbiz.de/10014683598

Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) methods for the evaluation of solar farms locations: Case study in south-eastern Spain

Sánchez-Lozano, Juan M.; Teruel-Solano, Jerónimo; … - In: Renewable and Sustainable Energy Reviews 24 (2013) C, pp. 544-556

This paper is based on the combination of a Geographic Information System (GIS) and tools or multi-criteria decision making (MCDM) methods in order to obtain the evaluation of the optimal placement of photovoltaic solar power plants in the area of Cartagena (Region of Murcia), in southeast Spain.

Persistent link: https://www.econbiz.de/10011049531

One modification of fuzzy TOPSIS method

Prascevic, Zivojin; Prascevic, Natasa - In: Journal of Modelling in Management 8 (2013) 1, pp. 81-102

by Similarity to Ideal Solution) and to develop a corresponding computer program which could be used for the …Purpose – The purpose of this paper is to present one modification of the fuzzy TOPSIS (Technique for Order Preference …

Persistent link: https://www.econbiz.de/10014881572

A hybrid fuzzy group ANP–TOPSIS framework for assessment of e-government readiness from a CiRM perspective

Tavana, Madjid; Zandi, Faramak; Katehakis, Michael N. - In: Information & management : the internat. journal of … 50 (2013) 7, pp. 383-397

Persistent link: https://www.econbiz.de/10010243618

DEA and TOPSIS techniques for purchasing management : the case of aircraft manufacturing industry

Arabzad, S. Mohammad; Kamali, Ahmad; Naji, Badia; … - In: International journal of logistics systems and management 14 (2013) 2, pp. 242-260

Persistent link: https://www.econbiz.de/10009713126

Online promotion of the e-commerce websites in retail market in China : an empirical study

Zhu, Xiaoning; Zhang, Qun; Zhang, Lingping; Yang, Jiaqin - In: Journal of electronic commerce in organizations : the … 11 (2013) 2, pp. 23-40

Persistent link: https://www.econbiz.de/10010187144

Hybrid methodology for measuring the utilization of advanced manufacturing technologies using AHP and TOPSIS

Singh, Harwinder; Kumar, Raman - In: Benchmarking : an international journal ; BIJ 20 (2013) 2, pp. 169-185

Persistent link: https://www.econbiz.de/10009729982

Multi-objective optimization for stochastic computer networks using NSGA-II and TOPSIS

Lin, Yi-Kuei; Yeh, Cheng-Ta - In: European Journal of Operational Research 218 (2012) 3, pp. 735-746

-dominated Sorting Genetic Algorithm II (NSGA-II) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). NSGA …

Persistent link: https://www.econbiz.de/10010574198

A partner selection method based on risk evaluation using fuzzy soft set theory in supply chain

Xiao, Zhi; Chen, Weijie - In: Modeling risk management in sustainable construction, (pp. 19-27). 2011

Persistent link: https://www.econbiz.de/10008746798