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The purpose of this paper is to provide a multi‐criteria bidding evaluation model based on Istanbul 2010 PR selection problem to strike a balance among conflicting criteria and to aggregate opinions held by a group of decision makers.

In the study, analytic hierarchy process (AHP) methodology was used to settle the conflict properly. The evaluation criteria were transformed into a hierarchical form and their relative weights were calculated and synthesized for the final ranking of the bidders. Then a linear interpolation‐based spreadsheet model was combined with findings of the AHP to fairly select best bidders.

The paper demonstrates that the hierarchical structure of the AHP methodology can successfully resolve the conflict among evaluation criteria and measure relative importance of the criteria by taking into account the preference of the decision makers. Moreover, a linear interpolation methodology can evaluate quoted bid prices fairly and can help to make the best decision.

In all areas of business management, there is a great need for fair bid evaluation systems. The method presented in the paper will help future studies in designing more intriguing systems and resolving conflicts in the area of bid evaluation.

The purpose of this paper is to present a detailed literature review of the recent applications of the analytic hierarchy process (AHP) and analytic network process (ANP) group decision‐making methodologies.

Among more than 600 related papers published in the period 2005‐2009, a total of 232 application articles published in highly reputed international academic journals were selected and referenced in this paper. Papers were categorized according to application areas, subject titles, publication date, country of origin, academic journals, and integrated methodologies, and are summarized herein by various tables and charts.

The findings show that during the years 2005‐2009, use of the AHP technique has continued to increase exponentially. Moreover, it is expected that ANP will gain more popularity in the future, as the benefits of ANP become better understood. Applications of AHP have been dominant in manufacturing, followed by the environmental management and agriculture field, power and energy industry, transportation industry, construction industry, and healthcare. Other remarkable application fields include education, logistics, e‐business, IT, R&D, telecommunication industry, finance and banking, urban management, defense industry and military, government, marketing, tourism and leisure, archaeology, auditing, and the mining industry.

The study does not consider theoretical based AHP or ANP articles. Also the search excluded conference proceedings, masters' theses, and doctoral dissertations.

It is hoped that this study will guide practitioners in future work towards advancement of these techniques and will help the managers to select better decisions by making use of these methodologies.

The paper presents a comprehensive literature review of recent applications of AHP, and also ANP decision tools over the period 2005‐2009. Furthermore, the paper covers fuzzy AHP and fuzzy ANP extensions that are becoming popular methods in some application areas of traditional AHP and ANP.