Data Processing for the AHP ANP is popular PDF and ePub book, written by Gang Kou in 2012-09-03, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Data Processing for the AHP ANP can be Read Online from any device for your convenience.
Data Processing for the AHP ANP Book PDF Summary
The positive reciprocal pairwise comparison matrix (PCM) is one of the key components which is used to quantify the qualitative and/or intangible attributes into measurable quantities. This book examines six understudied issues of PCM, i.e. consistency test, inconsistent data identification and adjustment, data collection, missing or uncertain data estimation, and sensitivity analysis of rank reversal. The maximum eigenvalue threshold method is proposed as the new consistency index for the AHP/ANP. An induced bias matrix model (IBMM) is proposed to identify and adjust the inconsistent data, and estimate the missing or uncertain data. Two applications of IBMM including risk assessment and decision analysis, task scheduling and resource allocation in cloud computing environment, are introduced to illustrate the proposed IBMM.
Detail Book of Data Processing for the AHP ANP PDF
- Author : Gang Kou
- Release : 03 September 2012
- Publisher : Springer Science & Business Media
- ISBN : 9783642292132
- Genre : Business & Economics
- Total Page : 142 pages
- Language : English
- PDF File Size : 18,6 Mb
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