کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
496135 862850 2013 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Synthesis of individual best local priority vectors in AHP-group decision making
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Synthesis of individual best local priority vectors in AHP-group decision making
چکیده انگلیسی

An assessment of the individual judgments and AHP-produced priority vectors for involved decision-makers indicates that the individual consistencies of decision makers may vary significantly, thus making the final group decision less reliable. In this paper, an approach is proposed as to how to combine decision makers’ local priority vectors in AHP synthesis and reduce so-called group inconsistency. Instead of aggregating individual judgments (AIJ), or aggregating individually derived final priorities (AIP), we propose to perform an AHP synthesis of the best local priority vectors taken from the most consistent decision makers. The approach and related algorithm we label as MGPS after the key terms ‘multicriteria group prioritization synthesis.’ The concept is analogous to the one proposed by Srdjevic [1] for individual AHP applications where the best local priority vectors are selected based on the consistency performance of several of the most popular prioritization methods. Here, decision makers are combined instead of prioritization methods, and group context is fully implemented. After completing an evaluation of the decision makers inconsistencies in each node of the hierarchy, the selected best local priority vectors are synthesized in a standard manner, and the final solution is declared to be an AHP-group decision. Two numerical examples indicate that the developed approach and algorithm generate the final priorities of alternatives with the lowest overall inconsistency (in the multicriteria sense).

Figure optionsDownload as PowerPoint slideHighlights
► Identifying best local priority vectors of individuals in AHP hierarchy.
► Multicriteria assessment of local consistencies of individuals within a group.
► No AIJ or AIP aggregations. Best local priority vectors synthesized instead.
► Combining best individual vectors reduces group inconsistency.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 13, Issue 4, April 2013, Pages 2045–2056
نویسندگان
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