Simple Additive Weighting Methods of Multi criteria Decision Making and Applications: A Decade Review

作者: C.W. Rabiatul Adawiyah , Lazim Abdullah

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摘要: Various multi-criteria decision making (MCDM) methods have been proposed to solve diverse applications of problems. One the MCDM is additive weighting-based method. However, this method not explicitly disseminated and its are not-well received by many enthusiasts. This paper presents a review simple weighting (SAW) fuzzy (FSAW) from 2003 2013. Two classifications individual approaches integrated were made in paper. Related articles appearing international journals 2013 gathered analyzed. From observation, it was noticed that ten out nineteen or fifty two percent applied SAW FSAW management selection process. provides most prevalent application also aids researchers choosing appropriate based methods. would offer useful information for other since latest evidence about FSAW. Decision becomes an integral part our daily lives will be used complex problems including with multiple conflicting criteria. Multi-criteria well-known process on progression using procedures criteria into planning (1). In words, refers presence multiple, numerous usually involve numbers step procedure which consensus can group makers. well-defined reduce amount arguments conflicts involved. plays important role solving complicated The development discipline closely related advancement computing technology. With development, possible conduct systematic analysis Furthermore, extensive use software has generated huge information, makes increasingly supporting making. literature, attribute (MADM) objective (MODM) basic MCDM. There exist number each mentioned approaches. Pohekar Ramachandran (2) pointed every own characteristics classified as deterministic, stochastic Carlsson Fuller (3) categorized four major categories. categories value utility theory second category built around utilize various ways assess relative importance attributes alternatives. Under category, concentrated weight determination. It comprises (SAW), analytic hierarchy process, conjunctive/ disjunctive methods, outranking max-min seems determinations preferences. Churchman et al., (4) first research utilized cope portfolio problem. known weighted linear combination scoring often multi- technique.

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