S. Alonso, FJ. Cabrerizo, F. Chiclana, F. Herrera, E. Herrera-Viedma, Group decision mak-
ing with incomplete fuzzy linguistic preference relations, International Journal of Intelligent
Systems., 24(2) (2009), 201-222.
 M. Amiri-Aref, N. Javadian N, A new fuzzy TOPSIS method for material handling system
selection problems, Proceedings of the 8th WSEAS International Conference on Software
Engineering, Parallel and Distributed Systems., (2009), 169-174.
 KT. Atanassov Intuitionistic fuzzy sets, In: V. Sgurev (Ed.), VII ITKRs Session, Soa, June
1983 Central Sci. and Techn. Library, Bulg. Academy of Sciences., 1984.
 KT. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems., 20 (1986), 87-96.
 KT. Atanassov, New operations dened over the intuitionistic fuzzy sets, Fuzzy Sets and
Systems., 61 (1994), 137-142.
 KT. Atanassov, Intuitionistic Fuzzy Sets, Springer-Verlag, Heidelberg., 1999.
 KT. Atanassov, On Intuitionistic Fuzzy Sets Theory, Studies in Fuzziness and Soft Computing.
 KT. Atanassov and C. Georgiev, Intuitionistic fuzzy prolog, Fuzzy Sets and Systems., 53
 KT. Atanassov, NG. Nikolov and HT. Aladjov, Remark on two operations over intuitionistic
fuzzy sets, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems.,
9(1) (2003), 71-75.
 KT. Atanassov, G. Pasi and RR. Yager, Intuitionistic fuzzy interpretations of multi-criteria
multi-person and multi-measurement tool decision making, International Journal of Systems
Science., 36 (2005), 859-868.
 FE. Boran, S. Genc, M. Kurt and D. Akay, A multi-criteria intuitionistic fuzzy group decision
making for supplier selection with TOPSIS method, Expert Systems with Applications., 36
 P. Burillo and H. Bustince H, Entropy on intuitionistic fuzzy sets and on interval-valued
fuzzy sets, Fuzzy Sets and Systems., 78 (1996), 305-316.
 G. Buyukozkan and D. Ruan, Evaluation of software development projects using a fuzzy
multi-criteria decision approach, Mathematics and Computers in Simulation., 77 (2008),
 C-L. Chang and C-H. Hsu, Multi-criteria analysis via the VIKOR method for prioritizing
land-use restraint strategies in the Tseng-Wen reservoir watershed, Journal of Environmental
Management., 90 (2009), 3226-3230.
 LY. Chen and T-C. Wang, Optimizing partners choice in IS/IT outsourcing projects: The
strategic decision of fuzzy VIKOR, International Journal of Production Economics., 120
 SJ. Chen and CL. Hwang, Fuzzy multiple attribute decision making: methods and applica-
tions, Springer-Verlag, Berlin., 1992.
 T. Chen, Remarks on the Subtraction and Division Operations over Intuitionistic Fuzzy Sets
and Interval-Valued Fuzzy Sets, International Journal of Fuzzy Systems., 9 (2007), 169-172.
 R. De SK Biswas and AR. Roy, Some operations on intuitionistic fuzzy sets, Fuzzy Sets and
Systems., 114 (2000), 477-484.
 R. Degani and G. Bortolan, The problem of linguistic approximation in clinical decision
making, International Journal of Approximate Reasoning., 2 (1988), 143-162.
 M. Delgado, J. Verdegay and M. Vila, On aggregation operations of linguistic labels, International
Journal of Intelligent Systems., 8 (1993), 351-370.
 G. Deschrijver and EE. Kerre, On the representation of intuitionistic fuzzy t-norms and
t-conorms, IEEE Transactions on Fuzzy Systems., 12 (2004), 45-61.
 Y. Dong, Y. Xu and S. Yu, Computing the numerical scale of the linguistic term set for
the 2-tuple fuzzy linguistic representation model, IEEE Transactions on Fuzzy Systems., 17
 E. Gurkan, I. Erkmen and AM. Erkmen, Two-way fuzzy adaptive identication and control
exible-joint robot arm, Information Science., 145 (2002), 13-43.
 F. Herrera and E. Herrera-Viedma, Linguistic decision analysis: steps for solving decision
problems under linguistic information, Fuzzy Sets and Systems., 115 (2000), 67-82.
 F. Herrera, E. Herrera-Viedma and L. Martinez, A fuzzy linguistic methodology to deal with
unbalanced linguistic term sets, IEEE Transactions on Fuzzy Systems., 16 (2008), 354-370.
 F. Herrera and L. Martnez, A 2-tuple fuzzy linguistic representation model for computing
with words, IEEE Transactions on Fuzzy Systems., 8 (2000), 746- 752.
 WL. Hung and MS. Yang, Similarity measures of intuitionistic fuzzy sets based on Lp metric,
International Journal of Approximate Reasoning., 46 (2007), 120-136.
 M-S. Kuo, G-H. Tzeng and W-C. Huang Group decision-making based on concepts of ideal
and anti-ideal points in a fuzzy environment, Mathematical and Computer Modelling., 45
 D-F. Li, Compromise ratio method for fuzzy multi-attribute group decision making, Applied
Soft Computing., 7 (2006), 807-817.
 D-F. Li, Multiattribute group decision making method using extended linguistic variables
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems., 17 (2007),
 L. Lin, XH. Yuan and ZQ. Xia, M ulticriteria fuzzy decision-making methods based on intuitionistic
fuzzy sets, Journal of Computer and System Sciences., 73 (2007), 84-88.
 H. Malekly, SM. Mousavi and H. Hashemi, A fuzzy integrated methodology for evaluating
conceptual bridge design, Expert Systems with Applications., 37 (2010), 4910-4920.
 J. Mendel, LA. Zadeh, E. Trillas, R. Yager, J. Lawry, H. Hagras and S. Guadarrama What
computing with words means to me, IEEE Computational Intelligence Magazine., 5 (2010),
 L. Mikhailov and P. Tsvetinov, Evaluation of services using a fuzzy analytic hierarchy process,
Applied Soft Computing., 5 (2004), 23-33.
 SM. Mousavi SM, F. Jolai and R. Tavakkoli-Moghaddam, A fuzzy stochastic multi-attribute
group decision-making approach for selection problems, Group Decision and Negotiation., 22
 SM. Mousavi, SA. Torabi and R. Tavakkoli-Moghaddam, A hierarchical group decision-
making approach for new product selection in a fuzzy environment, Arabian Journal for
Science and Engineering., 38 (2013), 3233-3248.
 SM. Mousavi, B. Vahdani, R. Tavakkoli-Moghaddam, S. Ebrahimnejad and M. Amiri, A
multi-stage decision making process for multiple attributes analysis under an interval-valued
fuzzy environment, International Journal of Advanced Manufacturing Technology., 64 (2013),
 S. Opricovic S, Multi-criteria optimization of civil engineering systems, Faculty of Civil
Engineering, Belgrade (1998).
 S. Opricovic S and G-H. Tzeng, Compromise solution by MCDM methods: A comparative
analysis of VIKOR and TOPSIS, European Journal of Operational Research., 156 (2004),
 S. Opricovic and G-H. Tzeng, Extended VIKOR method in comparison with outranking meth-
ods, European Journal of Operational Research., 178 (2007), 514-529.
 A. Sanayei, SF. Mousavi and A. Yazdankhah, Group decision making process for supplier se-
lection with VIKOR under fuzzy environment, Expert Systems with Applications., 37 (2010),
 MS. Shu, CH. Cheng and JR. Chang, Using intuitionistic fuzzy sets for faulttree analysis on
printed circuit board assembly, Microelectronics Reliability., 46 (2006), 2139-2148.
 E. Szmidt and J. Kacprzyk, Using intuitionistic fuzzy sets in group decision making, Control
Cybernetics., 31 (2002), 1037-1053.
 L-T. Tong, C-C. Chen and C-H. Wang, Optimization of multi-response processes using the
VIKOR method, International Journal of Advanced Manufacturing Technology., 31 (2007),
 G-H. Tzeng, M-H. Teng, J-J. Chen and S. Opricovic, Multicriteria selection for a restaurant
location in Taipei, International Journal of Hospitality Management., 21 (2002), 171-187.
 B. Vahdani, SM. Mousavi, R. Tavakkoli-Moghaddam and R. Hashemi, A new design of the
elimination and choice translating reality method for multiple criteria group decision-making
in an intuitionistic fuzzy environment, Applied Mathematical Modelling., 37 (2013), 1781-
 B. Vahdani, R. Tavakkoli-Moghaddam, SM. Mousavi and A. Ghodratnama, Soft computing
based on new fuzzy modied multi-criteria decision making method, Applied Soft Computing.,
13 (2013), 165-172.
 B. Vahdani and H. Hadipour, Extension of the ELECTRE method based on interval-valued
fuzzy sets, Soft Computing., 15 (2011), 569-579.
 J. Wang and J. Hao J, A new version of 2-tuple fuzzy linguistic representation model for
computing with words, IEEE Transactions on Fuzzy Systems., 14 (2010), 435-445.
 X. Wang, Z. Gao and G. Wei, An approach to archives websites performance evaluation in
our country with interval intuitionistic fuzzy information, Advances in information sciences
and service sciences., 3 (2011), 112-117.
 Z. Xu Z, A method based on linguistic aggregation operators for group decision making with
linguistic preference relations, Information Sciences., 166 (2004), 19-30.
 ZS. Xu ZS, Intuitionistic fuzzy aggregation operators, IEEE Transactions on Fuzzy Systems.,
15 (2007), 1179-1187.
 ZS. Xu and RR. Yager, Some geometric aggregation operators based on intuitionistic fuzzy
sets, International Journal of General Systems., 35 (2006), 417-433.
 R. Yager, A new methodology for ordinal multiobjective decisions based on fuzzy sets, Decision
Sciences., 12 (1981), 589-600.
 L. Zadeh, Fuzzy logic = computing with words, IEEE Transactions on Fuzzy Systems., bf 94
 L. Zadeh and J. Kacprzyk, Computing with words in information / Intelligent systems 1
(Foundations), Studies in Fuzziness and Soft Computing., 33 (1999), Springer-Verlag.
 L. Zadeh and J. Kacprzyk, Computing with words in information / Intelligent systems 2
(Applications), Studies in Fuzziness and Soft Computing., 34 (1999), Springer-Verlag.
 LA. Zadeh, Fuzzy sets, Information and Control., 8 (1965), 338-353.
 CY. Zhang and HY. Fu, Similarity measures on three kinds of fuzzy sets, Pattern Recognition
Letters., 27 (2006), 1307-1317.
 S-F. Zhang and S-Y Liu, A GRA-based intuitionistic fuzzy multi-criteria group decision
making method for personnel selection, Expert Systems with Applications., 38 (2011), 11401-