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INTUITIONISTIC FUZZY DIMENSIONAL ANALYSIS FOR MULTI-CRITERIA DECISION MAKING | ||
Iranian Journal of Fuzzy Systems | ||
مقاله 3، دوره 15، شماره 6، بهمن و اسفند 2018، صفحه 17-40 اصل مقاله (550.09 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22111/ijfs.2018.4363 | ||
نویسندگان | ||
L. Perez-Domnguez* 1؛ A. Alvarado-Iniesta1؛ J. L. Garca-Alcaraz1؛ D. J. Valles-Rosales2 | ||
1Department of Industrial and Manufacturing Engineering, Universidad Autonoma de Ciudad Juarez, Av. del Charro, CP-32310, Ciudad Juarez, Chih., Mexico | ||
2Department of Industrial and Manufacturing Engineering, New Mexico State University, Las Cruces, NM,88003-8001, USA | ||
چکیده | ||
Dimensional analysis, for multi-criteria decision making, is a mathematical method that includes diverse heterogeneous criteria into a single dimensionless index. Dimensional Analysis, in its current definition, presents the drawback to manipulate fuzzy information commonly presented in a multi-criteria decision making problem. To overcome such limitation, we propose two dimensional analysis based techniques under intuitionistic fuzzy environments. By the arithmetic operations of intuitionistic fuzzy numbers, we describe the intuitionistic fuzzy dimensional analysis (IFDA) and the aggregated intuitionistic fuzzy dimensional (AIFDA) techniques. In the first technique, we consider only the handling of fuzzy information; and, in the second one we consider both quantitative (crisp) and qualitative (fuzzy) information typically presented together in a decision making problem. To illustrate our approaches, we present some numerical examples and perform some comparisons with other well-known techniques. | ||
کلیدواژهها | ||
Dimensional analysis؛ Intuitionistic fuzzy set؛ Multi-criteria Decision Making | ||
مراجع | ||
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