Capital Budgeting Decisions With Fuzzy Projects

REFERENCES

• Balas , E. , “ an additive algorithm for solving linear programs with zero-one variables ,” Operations Research , Vol. 13 , No. 4 , 1965 , pp. 517 – 546 .
   Web of Science ®Google Scholar
• Bortolan , G. and R. Degani , “ a review of some methods for ranking fuzzy subsets ,” Fuzzy Sets and Systems , Vol. 15 , 1985 , pp. 1 – 19 .
   Web of Science ®Google Scholar
• Buckley , J. J. , “ the fuzzy mathematics of finance ,” Fuzzy Sets and Systems , Vol. 21 , 1987 , pp. 257 – 273 .
   Web of Science ®Google Scholar
• Buckley , J.J. , “ solving fuzzy equations in economics and finance , ” Fuzzy Sets and Systems , Vol. 48 , 1992 , pp. 289 – 296 .
   Web of Science ®Google Scholar
• Chang , W. , “ ranking of fuzzy utilities with triangular membership functions ,” Proc. Int. Conf. of Policy Anal, and Inf. Systems , 1981 , pp. 263 – 272 .
   Google Scholar
• Chiu , C.Y. and C.S. Park , “ fuzzy cash flow analysis using present worth criterion ,” The Engineering Economist , Winter 1994 , Vol. 39 , No. 2 , 1994 pp. 113 – 138 .
   Google Scholar
• Chiu , C.Y. , K.H. Chang , C.S. Park , and C.H. Liu , “ An expert system for capital budgeting problems under uncertainty ” International Journal of Industrial Engineering , Vol. 2 , No. 2 , pp. 89 – 98 , 1995 .
   Google Scholar
• Dubois , D. , and H. Prade , “ systems of linear fuzzy constraints ,” Fuzzy Sets and Systems , Vol. 3 , ( 1980 ), pp. 37 – 48 .
   Google Scholar
• Geoffrion , A.M. and R.E. Marsten , “ integer programming algorithms a framework and state-of-the-art survey ,” Management Science , Vol. 18 , No. 9 , May 1972 , pp. 465 – 471 .
   Web of Science ®Google Scholar
• Ghotb , F. and L. Warren , “ a case study comparison of the analytic hierarchy process and a fuzzy decision methodology ,” The Engineering Economist , Vol. 40 , No. 3 , Spring 1995 , pp. p233– 246 p.
   Google Scholar
• Kacprzyk , J. and S.A. Orlovski , “ fuzzy optimization and mathematical programming a brief introduction and survey ,” Optimization Models Using Fuzzy Sets and Possibility Theory , 1987 , pp. 50 – 72 .
   Google Scholar
• Kaufmann , A. and M.M. Gupta , Fuzzy Mathematical Models in Engineering and Management Science , Elsevier Science Publishers B.V. , 1988 .
   Google Scholar
• Kickert , W.J.M. , Fuzzy Theories on Decision Making A Critical Review , 1978 .
   Google Scholar
• Lai , Y. and C. Hwang , “ Fuzzy mathematical programming ,” Vol. 394 of Lecture Notes in Economics and Mathematical Systems , Berlin Springer- Verlag . 1992 .
   Google Scholar
• Liang , G.S. and M.J. Wang , “ A fuzzy multi-criteria decision-making method for facility site selection ,” The International Journal of Production Research , Vol. 29 , 1991 , pp. 2313– 2330 .
   Google Scholar
• Negoita , C.V. , Minoiu , S. , and E. Stan , “ on considering imprecision in dynamic linear programming ,” Econ. Comp. andEcon. Cybern. Stud, and Res. , Vol. 3 , 1976 . pp. 83 – 95 .
   Google Scholar
• Owsinski , J.W. , S. Zadrozny and J. Kacprzyk , “ Analysis of water use and needs in agriculture through a fuzzy programming model ,” in Optimization Models Using Fuizy Sets and Possibility Theory , eds. J. Kacprzyk and S.A. Orlovski , D. Reidel Publishing Co. , 1987 , PP. 377 – 395 .
   Google Scholar
• Pohjola , V.J. and I. Turunen , ” Estimating the internal rate of return from fuzzy data ,” Engineering Costs and Production Economics , Vol. 18 , 1990 , pp. 215–221.
   Google Scholar
• Rodder , W. , and H.J. Zimmermann , “ Duality in Fuzzy Programming ,” Int. Symp. on Extremal Methods and Syst. Anal. , Austin , Texas , 1977 .
   Google Scholar
• Sommer , G. and M.A. Pollalschek , “ A fuzzy programming approach to an air pollution regulation problem ,” Eur. J. Op. Res. , Vol. 10 , 1978 , pp. 303 – 313 .
   Google Scholar
• Tanaka , H. , and K. Asai , “ Fuzzy linear programming problems with fuzzy numbers ,” Fuzzy Sets and Systems , Vol. 13 , 1984 , pp. 1 – 10 .
   Web of Science ®Google Scholar
• Tanaka , H. , Ichihashi , H. , and K. Asai , “ A formulation of fuzzy linear programming based on comparison of fuzzy numbers ,” in Kacprzyk Control and Cyber. , Vol. 4 , No. 3 , 1984 , pp. 185 – 194 .
   Google Scholar
• Wang , M. J. and G. S. Liang , “ Benefit/cost analysis using fuzzy oncept ,” The Engineering Economist , Vol. 40 , No. 4 , Summer 1995 , pp. 359 – 376 .
   Google Scholar
• Ward , T.L. , “ Fuzzy discounted cash flow analysis ,” in Applications of Fuzzy Set Methodologies in Industrial Engineering , Evans, G. W., Karwowski, W., and Wilhelm R., eds. , Amsterdam Elsevier , 1989 .
   Google Scholar
• Weingartner , H.M. , Mathematical Programming and the Analysis of Capital Budgeting Problems , Prentice-Hall , Englewood Cliffs , N.J ., 1963 .
   Google Scholar
• Zadeh , L.A. , ” Fuzzy sets ,” Information and Control , Vol. 8 , ( 1965 ), pp. 338– 353.
   Google Scholar
• Zadeh , L.A. , “ The concept of linguistic variable and its application to approximate reasoning ,” Information Science , Vol. 8 , ( 1975 ).
   Google Scholar
• Zimmermann , H.J. , “ Optimal decisions in problems with fuzzy description ,” (in German) ZF. Bertriebswirtschaftliche Forschung , Vol. 12 , 1975 , pp. 785 – 795 .
   Google Scholar
• Zimmermann , H.J. and M.A. Pollatschek , “ A unified approach to three problems in fuzzy 0-1 linear programs ,” Paper ofLehrstuhl Fur Unternehmensforschung der RWTH , Aachen , 1979 .
   Google Scholar
• Zimmermann , H.J. and M.A. Pollalschek , “ Fuzzy 0-1 linear programs ,” in Fuzzy Sets and Decision Analysis , by Zimmermann, Zadeh and Gaines , 1984 .
   Google Scholar