## Abstract

This paper presents a new algorithm for solving the general fuzzy multi-criteria decisionmaking (MCDM) problem involving fuzzy data expressed by means of linguistic terms. A fuzzy performance matrix representing the overall assessment of alternatives with respect to each criterion is obtained by using interval arithmetic. To avoid the complex and unreliable ranking process of fuzzy numbers, the α-cut concept is used to transform the fuzzy performance matrix into an interval performance matrix. Incorporated with the decision maker's attitude towards risk, an overall preference index is obtained by applying the concept of the degree of similarity to the ideal solution using a vector matching function. The algorithm developed is simple and comprehensible with easy computation which facilitates its use in a decision support system for the general fuzzy MCDM problem. An example is presented to demonstrate its applicability.

Original language | English |
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Pages | 1564-1568 |

Number of pages | 5 |

Publication status | Published - 1 Jan 1998 |

Event | IEEE International Conference on Image Processing 1997 - Santa Barbara, United States of America Duration: 26 Oct 1997 → 29 Oct 1997 Conference number: 4th |

### Conference

Conference | IEEE International Conference on Image Processing 1997 |
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Abbreviated title | ICIP 1997 |

Country | United States of America |

City | Santa Barbara |

Period | 26/10/97 → 29/10/97 |