This article proposes a hybrid algorithm for spectrum allocation in cognitive radio networks based on the algorithms Analytical Hierarchical Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to improve the performance of the spectrum mobility of secondary users in cognitive radio networks. To calculate the level of performance of the proposed algorithm...

This paper proposes a method for ranking decision making units (DMUs) using some of the multiple criteria decision making / multiple attribute decision making          (MCDM /MADM) techniques, namely, interval analytic hierarchy process (IAHP)          and the technique for order preference by similarity to an ideal solution (TOPSIS).          Since the efficiency score of unity is assigned to ...

Linear programming-based estimation procedures are used in a variety of arenas. Two notable areas are multi-attribute utility models (LINMAP) and production frontiers (Data Envelopment Analysis, DEA). Both LINMAP and DEA have theoretical and managerial advantages. For example, LINMAP treats ordinal scaled preference data as such in uncovering individual level attribute weights, while regression...

In this study, we evaluated the effects of the normalization procedures on decision outcomes of a givenMADMmethod. For this aim, using theweights of a number of attributes calculated from FAHP method, we applied TOPSIS method to evaluate the financial performances of 13 Turkish deposit banks. In doing this, we used the most popular four normalization procedures. Our study revealed that vector n...

“Handover” is one of the techniques used to achieve the service continuity in Fourth generation wireless networks (FGWNs). Seamless continuity is the main goal in fourth generation Wireless networks (FGWNs), when a mobile terminal (MT) is in overlapping area for service continuity Handover mechanism are mainly used While moving in the heterogeneous wireless networks continual connection is the ...

the paper presents a multi-factor decision-making approach for prioritizing failure modes as an alternative to traditional approach of failure mode and effect analysis (fmea). the approach is based on the ‘technique for order preference by similarity to ideal solution’ (topsis). the priority ranking is formulated on the basis of six parameters (failure occurrence, non-detection, maintainability...

This study reports on the performance assessment of the Asian airlines using TOPSIS – a multi-criteria decision making technique – as the cornerstone method to compute efficiency scores. Subsequently, and observing indicators frequently found in literature, TOPSIS results on efficiency levels are combined with GLMM-MCMC methods to assess the impact of contextual variables on performance. The re...

This paper presents a model based decision support system (DSS) for evaluating performance. Performance evaluation in business is difficult. Multicriteria methods are used for evaluation of performance of public and private organizations. The proposed system is based on financial ratios and some methods such as Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Id...

Electronic commerce (EC) development takes place in a complex and dynamic environment that includes high levels of risk and uncertainty. This paper proposes a new method to assess the risks associated with EC development using multi-criteria decision-making techniques A model based on analytic hierarchy process (AHP) and the technique for order of preference by similarity to ideal solution (TOP...

This paper reports the study on the development of a ‘decision support system (DSS)’ software for cotton fibre grading and selection, and its applications in the textile spinning industry. Two multi-criteria decision making approaches, namely ‘analytic hierarchy process (AHP)’ and ‘technique for order preference by similarity to ideal solutions (TOPSIS)’, have been amalgamated in the developed ...