(2006) 13(3) pp. 81-100. NTT DoCoMo ( ) GSM ( ) AHP (fuzzy AHP)
Fuzzy AHP for Selection among Mobile Value-Added Service Providers
Abstract
Following the liberalization of the mobile phones market and telecommunications industry, the mobile phones service business gets saturated by the day. The telecom operators are currently confronted with a decrease in the average revenue per user. Due to the success business model of Japan’s NTT DoCoMo, current operators perceived it to be invaluable and followed suit by offering a similar mobile value-added service. The developmental process of the mobile value-added services had unceasingly evaluated the content provided by systems service operators in order to satisfy consumers’ needs.
The purpose of this paper is to provide an analytical tool to select the best mobile value-added service firm providing the most customer satisfaction. This study takes four mobile value-added service categories (mobile communication service, mobile
entertainment service, mobile transaction service, and mobile information service) as an object and takes six GSM telecom firms (Chunghwa Telecom, Taiwan Cellular Corp., Far Eastone Telecommunications, KG Telecom, Mobitai Communications and TransAsia Telecommunications) as a goal to design AHP (analytic hierarchy process) questionnaires. The most important criteria taken into account by the consumers while they were selecting their mobile service firms were determined by a designed AHP questionnaire. The fuzzy AHP was used to compare these mobile value-added service firms. This method is able to assist consumers to select the proper firm through the other consumers’ opinions. It also serves as a reference for telecom operators to improve the original service or provide new mobile value-added service through a large scale survey.
Keywords: Mobile Commerce, Mobile Value-Added Service, Fuzzy AHP, Group Decision Making
(http://www.dgt.gov.tw 2003)
2003 3 107%
(Kannan et al., 2001; Varshney & Vetter, 2001)
B2C( ) NTT DoCoMo i-Mode
(Nohria & Leetsma, 2001; Barnes, 2002)
( ) GSM ( ) AHP Müller-Veerse(1999) Aberdeen Group(2000)
(mobile appliance) (wireless networks) (application
and service providers) (transactions and information enablers /
transcoders) Kalakota Robinson(2001)
Keen Mackintosh (2001) Tsalgatidou Pitoura(2001) ( ) Tarasewich (2002) ( ) Gunasekaran Ngai(2003) /
(mobility/ubiquity) (flexibility) (convenience) /
(track/location) (personalization)
(1) /
( 2001;
2001; Clarke, 2001; Keen & Mackintosh, 2001; Siau et al., 2001; Tsalgatidou & Pitoura, 2001)
(2)
(Keen & Mackintosh, 2001; Siau et al., 2001; Tsalgatidou & Pitoura, 2001)
, 2001; Clarke, 2001; Keen & Mackintosh, 2001; Siau et al., 2001; Tsalgatidou & Pitoura, 2001)
(4) / (GPS global positioning system)
( 2001; Clarke, 2001; Tsalgatidou & Pitoura; 2001)
(5)
(Müller-Veerse, 1999; 2001; Clarke, 2001; Siau et al., 2001; Tsalgatidou & Pitoura; 2001)
( 2002 2003
2003) Anckar D’Incau(2002)
(time-critical needs and arrangements) (spontaneous
needs and decisions) (entertainment needs) (efficiency needs
and ambitions) (mobility-related needs)
Forrester Research(http://www.forrester.com 1999)
(provide timely information) (enabled simple
transactions) (location relevant)
JP Morgan(2000)
4C (convenience) (customization) (cost
effectiveness) (cast-iron security)
(Müller-Veerse, 1999; Varshney & Vetter, 2002; Coursaris et al., 2003)
1. (mobile communication service)
(3G)
2. (mobile entertainment service)
Durlacher Research(http://www.durlacher.com 2002)
3. (mobile transaction service)
( PDA) (SIM subscriber
identity module) ( 2001
2001)
4. (mobile information service)
1
1
(emome)
(catch) JAVA
(i-mode)
(mobeelife)
(Hank)
(Analytical hierarchy process; AHP) Satty(1980)
(multiple criteria decision making) (1989)
(Poh & Ang,
1999) (Stam & Duarte, 2003) (Al-Subhi Al-Harbi,
2001; Byun, 2001; Tam & Tummala, 2001; Lai et al., 2002; Ngai, 2003) (Ramanathan & Ganesh, 1995) (Frei & Harker, 1999) (Fahmy, 2001)
(2) (3) (4)
(5) (pairwise comparison matrix)
(6) (eigen vector) (maximized eigenvalue)
(7)
(8) (CRH, consistent ratio hierarchy)
(9)
Zadeh(1965)
(linguistic term)
(membership function) Bellman
Zadeh(1970)
( Chen & Hwang, 1992; Grabisch, 1995; Lahdelma et al., 2000)
1. 2.
(convex fuzzy subset) 3. (normality of a
fuzzy subset) M~ otherwise u x m m x l m u x u l m l x M x ≤ ≤ ≤ ≤ − − − − = , 0 ), /( ) ( ), /( ) ( ) ~ (
µ
, l m u(Ruoning & Xiaoyan, 1992)
(Lasek, 1993) van Laarhoven
Pedrycz (1983)
(triangular fuzzy numbers)
(1) (2)
(3) Buckley(1985)
number)
Weck (1997)
Kuo (2002)
Tsaur (2002)
Hsieh (2004)
Chang(1996) (extent analysis method;
EAM)
(Chang, 1996) EAM (van Laarhoven & Pedrycz, 1983) (time complexity)
(Bozdag et al., 2003) Zhu (1999) Bozdag
(2003) Kahraman (2003) Kahraman (2004) Chang(1996)
(Chang, 1996) } ,..., , {x1 x2 xn X = (object set) U ={u1,u2,...,um}
(goal set) (Chang, 1996)
m , , , , 2 1 m gi gi gi M M M K i=1,2,K,n (1) ) , , 2 , 1 (j m Mgij = K m gi gi gi M M M1 , 2,K, m i i
(fuzzy synthetic extent value) 1 1 1 1 − = = =
∑
∑∑
⊗ = m j n i m j j gi j gi i M M S (2)∑
∑
∑
∑
= = = = = m i j m j j m j j m j j j gi l m u M 1 1 1 , , (3)∑
∑
∑
∑
∑
= = = = = = n i n i i n i i n i i m j j gi l m u M 1 1 1 1 1 , , (4) = ∑
∑
∑
∑∑
= = = − = = n i i n i i n i i n i m j j gi l m u M 1 1 1 1 1 1 1 , 1 , 1 (5) ) , , ( ) , , ( 2 2 2 1 1 1 1 2 l m u M l m u M = ≥ = (possibility)[
min( ( ), ( ))]
sup ) ( 2 1 1 2 M x y M V M M x yµ
µ
≥ = ≥ (6) otherwise u l m m l m u m u l d M M hgt M M V M 1 2 1 2 1 1 2 2 2 1 2 1 1 2 , ) ( ) ( , 0 , 1 ) ( ) ( ) ( 2 ≥ ≥ − − − − = = ∩ = ≥µ
(7) d 1 M µ µM2 D x ( 1) 1 0 D 2 M M1(
M2 M1)
V ≥ 1 l 2 l m2 u2 m1 u1 d 1 M1 M2 1 M M2 V(M1 ≥M2) V(M2 ≥M1)(convex fuzzy number) k
[
( ) ( ) ( )]
) , , ,
(M M1 M2 Mk V M M1 and M M2 and and M Mk
V ≥ K = ≥ ≥ K ≥ k i M M V( i), 1,2,3, , min ≥ = K = (8) ) ( min ) ( ' Ai V Si Sk d = ≥ k =1,2,K,n;k ≠i (9)
T n A d A d A d W'=( '( 1), '( 2),K, '( )) (10) ) , , 2 , 1 (i n Ai = K n T n A d A d A d W =( ( 1), ( 2),K, ( )) (11) W
(Müller-Veerse, 1999; Varshney & Vetter, 2002; Coursaris et al., 2003) ( ) AHP GSM ( ) AHP 2 2 i-mode 63% 21~35 (http://www.imode.net.tw/join_03.asp 2004) 350 296 84.57% 32 264 75.43%
2 (Chang, 1996) WS
20
(perceived service quality) ( ) 3 6
(Chang, 1996) WA WB WC WD 2 (A) (B) (C) (D) (1,1,1) (1.5,2,2.5) (1.5,2,2.5) (0.67,1,1.5) (0.4,0.5,0.67) (1,1,1) (1.5,2,2.5) (0.67,1,1.5) (0.4,0.5,0.67) (0.4,0.5,0.67) (1,1,1) (0.67,1,1.5) (0.67,1,1.5) (0.67,1,1.5) (0.67,1,1.5) (1,1,1) 2
(
)
(
0.21, 0.34, 0.55)
7 . 13 1 , 5 . 17 1 , 5 . 22 1 5 . 7 , 6 , 67 . 4 = ⊗ = A S(
)
(
0.16, 0.26, 0.41)
7 . 13 1 , 5 . 17 1 , 5 . 22 1 67 . 5 , 5 . 4 , 57 . 3 = ⊗ = B S(
)
(
0.11, 0.17, 0.28)
7 . 13 1 , 5 . 17 1 , 5 . 22 1 83 . 3 , 3 , 47 . 2 = ⊗ = C S(
)
(
0.13, 0.23, 0.4)
7 . 13 1 , 5 . 17 1 , 5 . 22 1 5 . 5 , 4 , 3 = ⊗ = D S(
SA ≥SB)
=1 V(
SA ≥SC)
=1 V(
SA ≥SD)
=1 V(
)
0.71 ) 21 . 0 34 . 0 ( ) 41 . 0 26 . 0 ( 41 . 0 21 . 0 = − − − − = ≥ A B S S V(
SB ≥SC)
=1 V(
SB ≥SD)
=1 V(
)
0.3 ) 21 . 0 34 . 0 ( ) 28 . 0 17 . 0 ( 28 . 0 21 . 0 = − − − − = ≥ A C S S V(
)
0.59 ) 16 . 0 26 . 0 ( ) 28 . 0 17 . 0 ( 28 . 0 16 . 0 = − − − − = ≥ B C S S V(
)
0.72 ) 13 . 0 23 . 0 ( ) 28 . 0 17 . 0 ( 28 . 0 13 . 0 = − − − − = ≥ D C S S V(
SD ≥SA)
=0.63 V(
SD ≥SB)
=0.89 V(
SD ≥SC)
=1 V 1 ) 1 , 1 , 1 min( ) , , ( ) ( ' A =V SA ≥SB SC SD = = d 71 . 0 ) 1 , 1 , 71 . 0 min( ) , , ( ) ( ' B =V SB ≥SA SC SD = = d 3 . 0 ) 72 . 0 , 59 . 0 , 3 . 0 min( ) , , ( ) ( ' C =V SC ≥SA SB SD = = d 63 . 0 ) 1 , 89 . 0 , 63 . 0 min( ) , , ( ) ( ' D =V SD ≥SA SB SC = = d(
)
T S W '= 1, 0.71, 0.3, 0.63(
)
T S W = 0.38, 0.27, 0.11, 0.24 3 (a) (b) (c) (d) (e) (f) (1,1,1) (1,1,1) (1,1,1) (0.67,1,1.5) (0.67,1,1.5) (1.5,2,2.5) (1,1,1) (1,1,1) (1,1,1) (0.67,1,1.5) (0.67,1,1.5) (1.5,2,2.5) (1,1,1) (1,1,1) (1,1,1) (0.67,1,1.5) (0.67,1,1.5) (1.5,2,2.5) (0.67,1,1.5) (0.67,1,1.5) (0.67,1,1.5) (1,1,1) (1,1,1) (0.67,1,1.5) (0.67,1,1.5) (0.67,1,1.5) (0.67,1,1.5) (1,1,1) (1,1,1) (0.67,1,1.5) (0.4,0.5,0.67) (0.4,0.5,0.67) (0.4,0.5,0.67) (0.67,1,1.5) (0.67,1,1.5) (1,1,1) 2 SAa =(
0.2, 0.27, 0.36)
SAb =(
0.14, 0.2, 0.28)
(
0.13, 0.2, 0.31)
= Ac S SAd =(
0.11, 0.16, 0.23)
SAe =(
0.05, 0.08, 0.11)
(
0.06, 0.1, 0.15)
= Af S V(
SAa ≥SAb)
=1 V(
SAa ≥SAc)
=1 V(
SAa ≥SAd)
=1(
SAa ≥SAe)
=1 V V(
SAa ≥SAf)
=1 V(
SAb ≥SAa)
=0.55 V(
SAb ≥SAc)
=1(
SAb ≥SAd)
=1 V V(
SAb ≥SAe)
=1 V(
SAb ≥SAf)
=1 V(
SAc ≥SAa)
=0.62(
SAc ≥SAb)
=1 V V(
SAc ≥SAd)
=1 V(
SAc ≥SAe)
=1 V(
SAc ≥SAf)
=1(
SAd ≥SAa)
=0.21 V V(
SAd ≥SAb)
=0.66 V(
SAd ≥SAc)
=0.69 V(
SAd ≥SAe)
=1(
SAd ≥SAf)
=1 V V(
SAe ≥SAa)
=0 V(
SAe ≥SAb)
=0 V(
SAe ≥SAc)
=0(
SAe ≥SAd)
=0.06 V V(
SAe ≥SAf)
=0.73 V(
SAf ≥SAa)
=0 V(
SAf ≥SAb)
=0.07(
SAf ≥SAc)
=0.16 V V(
SAf ≥SAd)
=0.41 V(
SAf ≥SAe)
=1 3(
)
T A W = 0.19, 0.19, 0.19, 0.16, 0.16, 0.1 4 (1,1,1) (0.67,1,1.5) (0.67,1,1.5) (1.5,2,2.5) (2.5,3,3.5) (1.5,2,2.5) (0.67,1,1.5) (1,1,1) (1.5,2,2.5) (1.5,2,2.5) (2.5,3,3.5) (1.5,2,2.5) (0.67,1,1.5) (0.4,0.5,0.67) (1,1,1) (1.5,2,2.5) (2.5,3,3.5) (1.5,2,2.5) (0.4,0.5,0.67) (0.4,0.5,0.67) (0.4,0.5,0.67) (1,1,1) (2.5,3,3.5) (0.67,1,1.5) (0.29,0.33,0.4) (0.29,0.33,0.4) (0.29,0.33,0.4) (0.29,0.33,0.4) (1,1,1) (1,1,1) (0.4,0.5,0.67) (0.4,0.5,0.67) (0.4,0.5,0.67) (0.67,1,1.5) (1,1,1) (1,1,1) 4 WB =(
0.29, 0.32, 0.27, 0.12, 0, 0)
T 5 (1,1,1) (0.67,1,1.5) (0.67,1,1.5) (1,1,1) (2.5,3,3.5) (1.5,2,2.5) (0.67,1,1.5) (1,1,1) (0.67,1,1.5) (1,1,1) (2.5,3,3.5) (1.5,2,2.5) (0.67,1,1.5) (0.67,1,1.5) (1,1,1) (0.67,1,1.5) (2.5,3,3.5) (1.5,2,2.5) (1,1,1) (1,1,1) (0.67,1,1.5) (1,1,1) (1.5,2,2.5) (0.67,1,1.5) (0.29,0.33,0.4) (0.29,0.33,0.4) (0.29,0.33,0.4) (0.4,0.5,0.67) (1,1,1) (0.67,1,1.5) (0.4,0.5,0.67) (0.4,0.5,0.67) (0.4,0.5,0.67) (0.67,1,1.5) (0.67,1,1.5) (1,1,1) 5 WC =(
0.25, 0.25, 0.25, 0.18, 0, 0.06)
T 6 (1,1,1) (1,1,1) (0.67,1,1.5) (1,1,1) (3.5,4,4.5) (3.5,4,4.5) (1,1,1) (1,1,1) (0.67,1,1.5) (1,1,1) (2.5,3,3.5) (1.5,2,2.5) (0.67,1,1.5) (0.67,1,1.5) (1,1,1) (0.67,1,1.5) (2.5,3,3.5) (1.5,2,2.5) (1,1,1) (1,1,1) (0.67,1,1.5) (1,1,1) (1.5,2,2.5) (0.67,1,1.5) (0.22,0.25,0.29) (0.29,0.33,0.4) (0.29,0.33,0.4) (0.4,0.5,0.67) (1,1,1) (0.67,1,1.5) (0.22,0.25,0.29) (0.4,0.5,0.67) (0.4,0.5,0.67) (0.67,1,1.5) (0.67,1,1.5) (1,1,1) 6 WD =(
0.42, 0.23, 0.26, 0.09, 0, 0)
T2 6 7 7 0.38 0.27 0.11 0.24 0.19 0.29 0.25 0.42 0.28 0.19 0.32 0.25 0.23 0.24 0.19 0.27 0.25 0.26 0.24 0.16 0.12 0.18 0.09 0.13 0.16 0 0 0 0.06 0.1 0 0.06 0 0.05 7 Chang(1996)
( ) 3G 3G 3G 1. 1996 49-84 2. 2002 -YesMobile 3. 2003 -4. 2001 B2C B2B B2E eBusiness 15-23 5. 2003 6. 2001 eBusiness 56-61
7. 1989 (AHP) ( ) 6-22
8. Aberdeen Group. Mobile Electronic Commerce: The New Economy on the Move. http://www.aberdeen.com/ab%5Fcompany/hottopics/mcom/default.htm, 2000. 9. Al-Subhi Al-Harbi, K. M. “Application of the AHP in Project Management,”
International Journal of Project Management (19:1) 2001, pp. 19-27.
10.Anckar, B. and D’Incau, D. “Value Creation in Mobile Commerce: Findings from a Consumer Survey,” Journal of Information Technology Theory and Application (4:1) 2002, pp. 43-64.
11.Barnes, S. J. “The Mobile Commerce Value Chain: Analysis and Future Developments,” International Journal of Information Management (22:2) 2002, pp. 91-108.
12.Bellman, R. E. and Zadeh, L. A. “Decision-Making in a Fuzzy Environment,” Management Science (17:4) 1970, pp. 141-164.
13.Bozdag, C. E., Kahraman, C. and Ruan, D. “Fuzzy Group Decision Making for Selection among Computer Integrated Manufacturing Systems,” Computers in Industry (51:1) 2003, pp. 13-29.
14.Buckley, J. J. “Fuzzy Hierarchical Analysis,” Fuzzy Sets and Systems (17:3) 1985, pp. 233-247.
15.Byun, D. H. “The AHP approach for Selecting an Automobile Purchase Model,” Information and Management (38:5) 2001, pp. 289-297.
16.Chang, D. Y. “Applications of the Extent Analysis Method on Fuzzy AHP,” European Journal of Operational Research (95:3) 1996, pp. 649-655.
17.Chen, S. J. and Hwang, C. L. Fuzzy Multiple Attribute Decision Making: Methods and Applications, Springer-Verlag, New York, 1992.
18.Clarke, I. “Emerging Value Propositions for M-Commerce,” Journal of Business Strategies (18:2) 2001, pp. 133-147.
19.Coursaris, C., Hassanein, K. and Head, M. “M-Commerce in Canada: An Interaction Framework for Wireless Privacy,” Canadian Journal of Administrative Sciences (20:1) 2003, pp. 54-73.
20.Fahmy, H. M. A. “Reliability Evaluation in Distributed Computing Environments Using the AHP,” Computer Networks (36:5-6) 2001, pp. 597-615.
21.Frei, F. X. and Harker, P. T. “Measuring Aggregate Process Performance Using AHP,” European Journal of Operational Research (116:2) 1999, pp. 436-442. 22.Grabisch, M “Fuzzy Integral in Multicriteria Decision Making,” Fuzzy Sets and
Systems (69:3) 1995, pp. 279-298.
23.Gunasekaran, A. and Ngai, E. “Special Issue on Mobile Commerce: Strategies, Technologies and Applications,” Decision Support System (35:1) 2003, pp.
187-188.
24.Hsieh, T. Y., Lu, S. T. and Tzeng, G. H. “Fuzzy MCDM Approach for Planning and Design Tenders Selection in Public Office Buildings,” International Journal of Project Management (22:7) 2004, pp. 573-584.
25.JP Morgan. GPRS Research Report. http://www.jpmorgan.com, 2000.
26.Kahraman, C., Cebeci, U. and Ruan, D. “Multi-Attribute Comparison of Catering Service Companies Using Fuzzy AHP: The Case of Turkey,” International Journal of Production Economics (87:2) 2004, pp. 171-184.
27.Kahraman, C., Ruan, D. and Dogan, I. “Fuzzy Group Decision-Making for Facility Location Selection,” Information Sciences (157) 2003, pp. 135-153. 28.Kannan, P., Chang, A. and Whinston, A. “Wireless Commerce: Marketing Issues
and Possibilities,” Proceedings of the 34th Hawaii International Conference on System Sciences. IEEE Computer Society Press, Los Alamitos, CA, 2001.
29.Kalakota, R. and Robinson, M. M-business: The Race to Mobility, McGraw-Hill, New York, 2001.
30.Keen, P. G. W. and Mackintosh, R. The Freedom Economy: Gaining the M-commerce Edge in the Era of the Wireless Internet, Osborne/McGrew-Hill, Berkeley, 2001.
31.Kuo, R. J., Chi, S. C. and Kao, S. S. “A Decision Support System for Selecting Convenience Store Location through Integration of Fuzzy AHP and Artificial Neural Network,” Computers in Industry (47:2) 2002, pp.199-214.
32.Lahdelma, R., Salminen, P. and Hokkanen, J. “Using Multicriteria Methods in Environmental Planning and Management,” Environmental Management (26:6) 2000, pp. 595-605.
33.Lasek, M. “Hierarchical Structures of Fuzzy Ratings in the Analysis of Strategic Goals of Enterprises,” Fuzzy Sets and Systems (50:2) 1993, pp. 127-134.
34.Lai, V. S., Wong, B. K. and Cheung, W. “Group Decision Making in a Multiple Criteria Environment: A Case Using the AHP in Software Selection,” European Journal of Operational Research (137:1) 2002, pp. 134-144.
35.Müller-Veerse, F. Mobile Commerce Report. Dularcher Research Ltd. http://www.durlacher.com/downloads/mcomreport.pdf,1999.
36.Ngai, E. W. T. “Selection of Web Sites for Online Advertising Using the AHP,” Information and Management (40:4) 2003, pp. 233-242.
37.Nohria, N. and Leetsma, M. “A Moving Target: The Mobile Commerce Customer,” MIT Sloan Management Review (42:4) 2001, pp. 104.
38.Poh, K. L. and Ang, B. W. “Transportation Fuels and Policy for Singapore: an AHP Planning Approach,” Computers and Industrial Engineering (37:3) 1999, pp. 507-525.
39.Ramanathan, R. and Ganesh, L. S. “Using AHP for Resource Allocation Problems,” European Journal of Operational Research (80:2) 1995, pp. 410-417. 40.Ruoning, X. and Xiaoyan, Z. “Extensions of the Analytic Hierarchy Process in
Fuzzy Environment,” Fuzzy Sets and Systems (52:3) 1992, pp. 251-257. 41.Saaty, T. L. The Analytic Hierarchy Process, McGraw-Hill, New York, 1980. 42.Siau, K., Lim, E. P. and Shen, Z. “Mobile Commerce: Promises, Challenges, and
Research Agenda,” Journal of Database Management (12:3) 2001, pp. 4-13. 43.Stam, A. and Duarte S. A. P. “On Multiplicative Priority Rating Methods for the
AHP,” European Journal of Operational Research (145:1) 2003, pp. 92-108. 44.Tam, M. C.Y. and Tummala, V. M. R. “An Application of the AHP in Vendor
Selection of a Telecommunications System,” Omega (29:2) 2001, pp. 171-182. 45.Tarasewich, P., Nickerson, R. C. and Warkentin, M. “Issues in Mobile
E-commerce,” Communications of the Association for Information System (8:3) 2002, pp. 41-64.
46.Tsalgatidou, A. and Pitoura, E. “Business Models and Transaction in Mobile Electronic Commerce: Requirements and Properties,” Computer Networks (37:2) 2001, pp. 221-236.
47.Tsaur, S. H., Chang, T. Y. and Yen, C. H. “The Evaluation of Airline Service Quality by Fuzzy MCDM,” Tourism Management (23:2) 2002, pp. 107-115. 48.van Laarhoven, P. J. M. and Pedrycz, W. “A Fuzzy Extension of Saaty’s Priority
Theory,” Fuzzy Sets and Systems (11:3) 1983, pp. 229-241.
49.Varshney, U. and Vetter, R. “A Framework for the Emerging Mobile Commerce Applications,” Proceedings of the 34th Hawaii International Conference on System Sciences. IEEE Computer Society Press, Los Alamitos, CA, 2001.
50.Varshney, U. and Vetter, R. “Mobile Commerce: Framework, Applications and Networking Support,” Mobile Networks and Applications (7:3) 2002, pp. 185-198. 51.Weck, M., Klocke, F., Schell, H. and Rüenauver, E. “Evaluating Alternative Production Cycles Using the Extended Fuzzy AHP Method,” European Journal of Operational Research (100:2) 1997, pp. 351-366.
52.Zadeh, L. A. “Fuzzy Sets,” Information and Control (8:3) 1965, pp. 338-353. 53.Zhu, K. J., Jing, Y. and Chang, D. Y. “A Discussion on Extent Analysis Method
and Applications of Fuzzy AHP,” European Journal of Operational Research (116:2) 1999, pp. 450-456.
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