An novel approach to supplier selection based on vague sets group decision

In practice, in purchasing decision-making, many quantitative and qualitative factors, with vagueness and imprecision, have to be considered. This makes the decision process very complicated and unstructured. Besides the fuzzy sets theory, vague sets theory is one of the methods used to deal with uncertain information. Since vague sets can provide more information than fuzzy sets, it is considered superior in mathematical analysis of uncertain information. In this paper, a new approach based on vague sets group decision is proposed to deal with the supplier selection problem in supply chain systems. The work procedure is shown briefly, as follows: First, linguistic values are used to assess the ratings and weights for quantitative or qualitative factors. Second, degree of similarity and probability of vague sets are used to determine the ranking order of all alternatives. Finally, a numerical example of the selection problem of suppliers is shown, to highlight the procedure of the proposed approach, at the end of this paper.

[1]  Shyi-Ming Chen,et al.  Handling multicriteria fuzzy decision-making problems based on vague set theory , 1994 .

[2]  Wade M. Jackson,et al.  A GOAL PROGRAMMING MODEL FOR PURCHASE PLANNING , 1983 .

[3]  Richard Bellman,et al.  Decision-making in fuzzy environment , 2012 .

[4]  Francisco Herrera,et al.  Linguistic decision analysis: steps for solving decision problems under linguistic information , 2000, Fuzzy Sets Syst..

[5]  James L. Zydiak,et al.  Vendor selection with price breaks , 1993 .

[6]  Ralph E. Steuer,et al.  Multiple Criteria Decision Making, Multiattribute Utility Theory: The Next Ten Years , 1992 .

[7]  Joseph Geunes,et al.  Manufacturing delivery performance for supply chain management , 2007, Math. Comput. Model..

[8]  Kenneth N. Thompson,et al.  Vendor Profile Analysis , 1990 .

[9]  Madan M. Gupta,et al.  Introduction to Fuzzy Arithmetic , 1991 .

[10]  R. Narasimhan.  An Analytical Approach to Supplier Selection , 1983 .

[11]  Daniel L. Smytka,et al.  Total Cost Supplier Selection Model: A Case Study , 1993 .

[12]  R. Yager.  Fuzzy decision making including unequal objectives , 1978 .

[13]  W. C. Benton,et al.  Vendor selection criteria and methods , 1991 .

[14]  A. Kaufmann,et al.  Introduction to fuzzy arithmetic : theory and applications , 1986 .

[15]  L. V. D. Wegen,et al.  Outranking methods in support of supplier selection , 1998 .

[16]  Gülay Barbarosoğlu,et al.  An Application of the Analytic Hierarchy Process to the Supplier Selection Problem , 1997 .

[17]  Edward N. Timmerman.  An Approach to Vendor Performance Evaluation , 1986 .

[18]  José L. Verdegay,et al.  Linguistic decision‐making models , 1992, Int. J. Intell. Syst..

[19]  Chen-Tung Chen,et al.  Extensions of the TOPSIS for group decision-making under fuzzy environment , 2000, Fuzzy Sets Syst..

[20]  Robert M. Monczka,et al.  Cost-Based Supplier Performance Evaluation , 1988 .

[21]  Jun Ye,et al.  Improved method of multicriteria fuzzy decision-making based on vague sets , 2007, Comput. Aided Des..

[22]  S. Talluri,et al.  A Model for Strategic Supplier Selection , 2002 .

[23]  Francisco Herrera,et al.  A model of consensus in group decision making under linguistic assessments , 1996, Fuzzy Sets Syst..

[24]  W.-L. Gau,et al.  Vague sets , 1993, IEEE Trans. Syst. Man Cybern..

[25]  GuoDong Li,et al.  A grey-based decision-making approach to the supplier selection problem , 2007, Math. Comput. Model..

[26]  Dug Hun Hong,et al.  Multicriteria fuzzy decision-making problems based on vague set theory , 2000, Fuzzy Sets Syst..

[27]  Thomas Y. Choi,et al.  An exploration of supplier selection practices across the supply chain , 1996 .

[28]  Sridhar Samu,et al.  Activity‐Specific Role Stress in Purchasing , 1995 .

[29]  S. Deshmukh,et al.  Vendor Selection Using Interpretive Structural Modelling (ISM) , 1994 .

[30]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decisionmaking , 1988, IEEE Trans. Syst. Man Cybern..

[31]  Wang Yingxia,et al.  Application of Fuzzy Decision Optimum Model in Selecting Supplier , 2005 .

[32]  Chen-Tung Chen,et al.  A fuzzy approach for supplier evaluation and selection in supply chain management , 2006 .

[33]  W. Pedrycz,et al.  A fuzzy extension of Saaty's priority theory , 1983 .

[34]  Walter J.M. Kickert,et al.  Fuzzy Theories on Decision Making: A Critical Review , 1979 .

[35]  H. Zimmermann.  Fuzzy sets, decision making, and expert systems , 1987 .

[36]  W. E. Patton.  Individual and joint decision-making in industrial vendor selection , 1997 .

[37]  Xu Ze.  Algorithm for priority of fuzzy complementary judgement matrix , 2001 .

[38]  Y. Gousty,et al.  An integrated approach to project evaluation and selection , 1988 .