On paired prioritizations of criteria in the perspective of digraphs

Wenning Hao , Xiaohan Yu , Zeshui Xu , Xiuli Qi

Journal of Systems Science and Systems Engineering ›› 2015, Vol. 24 ›› Issue (4) : 466 -485.

PDF
Journal of Systems Science and Systems Engineering ›› 2015, Vol. 24 ›› Issue (4) : 466 -485. DOI: 10.1007/s11518-015-5283-z
Article

On paired prioritizations of criteria in the perspective of digraphs

Author information +
History +
PDF

Abstract

It is not usually independent among criteria in multi-criteria decision making (MCDM), and various dependences of criteria greatly influence the results of decision making. If an exact decision is desired, we must make clear the role of the dependences of criteria. Prioritizations, a new kind of dependences of criteria proposed recently, imply that the importance weights of criteria with lower priority for an alternative rely on whether the alternative satisfies the decision maker under criteria with higher priority. It has been validated that there exist lots of relevant applications in our daily activities. However, most existing literatures focus on how to deal with the problems of MCDM with ordered prioritizations among criteria (a special form of prioritizations). The characteristics of prioritizations are not dug deep. This paper constructs a new form of prioritizations, called paired prioritizations, so as to reduce or even avoid imperfect rationality of decision makers hidden in the ordered prioritizations. We first represent binary paired prioritizations as a digraph, based on which we discover two kinds of imperfect rationality (inconsistency and incompleteness) produced in the period that the decision maker supplies the binary paired prioritizations. After the given paired prioritizations are consistent and complete, we develop an approach to transform the paired prioritizations to ordered prioritizations. The latter can be used to handle prioritized MCDM problems. Moreover, uncertainty, another kind of imperfect rationality, is considered when the decision maker provides the fuzzy paired prioritizations based on a set of linguistic labels. We construct a fuzzy digraph whose fuzzy relations are just the fuzzy paired prioritizations. The ordered prioritizations can then be derived with the aid of the fuzzy digraph. Two use cases are taken to show the process of transformations from binary/fuzzy paired prioritizations to ordered prioritizations.

Keywords

Paired prioritization / ordered prioritization / criteria / digraph / fuzzy digraph

Cite this article

Download citation ▾
Wenning Hao, Xiaohan Yu, Zeshui Xu, Xiuli Qi. On paired prioritizations of criteria in the perspective of digraphs. Journal of Systems Science and Systems Engineering, 2015, 24(4): 466-485 DOI:10.1007/s11518-015-5283-z

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Amin G.R., Sadeghi H.. Application of prioritized aggregation operators in preference voting. International Journal of Intellignet Systems, 2010, 25: 1027-1034.

[2]

Bang-Jensen J., Gutin G.Z.. Digraphs: Theory, Algorithms and Applications, 2008, London: Springer-Verlag

[3]

Chen I.C., Wu S.Y.. Fuzzy digraphs. Journal of National Taiwan Normal University, 1985, 30: 439-456.

[4]

Chen S.M., Wang C.H.. A generalized model for prioritized multicriteria decision making systems. Expert Systems with Applications, 2009, 36: 4773-4783.

[5]

da Costa Pereira C., Dragoni M., Pasi G.. Multidimensional relevance: prioritized aggregation in a personalized information retrieval setting. Information Processing and Management, 2011, 48: 340-357.

[6]

Huang W.B., Wu Z.Q., Chen Y.H.. Prioritized attributes based threat evaluation model for the aerial targets. Ship Science and Technology, 2010, 32(9): 59-62.

[7]

Koele P.. Multiple Attribute Decision Making: An Iintroduction, 1995, Thousand Oaks: Sage Publications

[8]

Rosenfeld A.. Zadeh L.A., Fu K.S., Tanaka K., Shimura M.. Fuzzy graphs. Fuzzy Sets and Their Applications to Cognitive and Decision Processes, 1975 77-95.

[9]

Saaty T.L.. Analytic Hierarchy Process: Planning, priority, setting resource allocation, 1980, New York: McGraw-Hill.

[10]

Saaty T.L.. Theory and Applications of the Aanalytic Network Process, Decision Making with Benefits, Opportunities Costs and Risks, 2005, Pittsburgh: RWS Publications

[11]

Tanino, T. (1984). Fuzzy preference orderings in group decision making. Fuzzy Sets and Systems, 12: 117–131.

[12]

Xu Y.J., Da Q.L., Liu L.H.. Normalizing rank aggregation method for priority of a fuzzy preference relation and its effectiveness. International Journal of Approximate Reasoning, 2009, 50: 1287-1297.

[13]

Xu Y.J., Li D.F., Zhang N., Wu Z.Q.. Target type recognition method based on intuitionistic fuzzy set theory and POWA operators. Electronics Optics & Control, 2010, 17(11): 22-25.

[14]

Yager R.R.. Modeling prioritized multicriteria decision making. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2004, 34: 2396-2404.

[15]

Yager R.R.. Prioritized aggregation operators. International Journal of Approximate Reasoning, 2008, 48: 263-274.

[16]

Yager R.R., Walker C.L., Walker E.A.. A prioritized measure for multi-criteria aggregation and its shapley index. Paper presented at 2011 Annual Meeting of the North American on Fuzzy Information Processing Society (NAFIPS), 2011 1-4.

[17]

Yan H.B., Huynh V.N., Nakamori Y., Murai T.. On prioritized weighted aggregation in multi-criteria decision making. Expert Systems with Applications, 2011, 38: 812-823.

[18]

Yu X.H., Xu Z.S.. Prioritized intuitionistic fuzzy aggregation operators. Information Fusion, 2013, 14: 108-116.

[19]

Zadeh L.A.. Fuzzy sets. Information and Control, 1965, 8: 338-353.

AI Summary AI Mindmap
PDF

111

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/