𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Investors’ preference order of fuzzy numbers

✍ Scribed by Hsuan-Ku Liu; Berlin Wu; Ming Long Liu


Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
321 KB
Volume
55
Category
Article
ISSN
0898-1221

No coin nor oath required. For personal study only.

✦ Synopsis


Nowadays greater and greater realistic financial problems are modeled by using the stochastic programming in the fuzzy environment. Hence, ranking a set of fuzzy numbers that is consistent with the investors' preference becomes important for modelling a realistic problem. In this paper, we will provide a new ranking procedure that is consistent with the preference of the conservative investors. Our ranking procedure satisfies the axioms of three order relations for the separable fuzzy numbers or the triangle fuzzy numbers. We found that our ranking procedure has a better capability of discriminating the order of two fuzzy numbers. For the LR-type fuzzy numbers, our ranking procedure reduces the computational time substantially.


📜 SIMILAR VOLUMES


The preference order of fuzzy numbers
✍ L.-H. Chen; H.-W. Lu 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 832 KB

Many fuzzy number ranking approaches are developed in the literature for multiattribute decision-making problems. Almost all of the existing approaches focus on quantity measurement of fuzzy numbers for ranking purpose. In this paper, we consider the ranking process to determine a decision-maker's p

Ranking fuzzy numbers by preference rati
✍ Mohammad Modarres; Soheil Sadi-Nezhad 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 111 KB

We propose a ranking method for fuzzy numbers. In this method a preference function is deÿned by which fuzzy numbers are measured point by point and at each point the most preferred number is identiÿed. Then, these numbers are ranked on the basis of their preference ratio. Therefore, fuzzy numbers a

On ordering fuzzy numbers
✍ H. B. Mitchell; P. A. Schaefer 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 107 KB
VSOP fuzzy numbers and their fuzzy order
✍ Kiyomitsu Horiuchi; Naoyuki Tamura 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 828 KB

In this paper, we extend the conventional fuzzy numbers and introduce a new fuzzy number system named vector space of ordered pairs (VSOP). Then, we axiomatically define the fuzzy comparison relations (>-, ' L-\_ and \_~) on VSOP starting from the requirements of fuzzy ordering and vector ordering.