The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Beberapa kertas kerja telah membentangkan fungsi terukur untuk mengendalikan masalah membuat keputusan kabur berbilang kriteria berdasarkan set kabur intuisi bernilai selang. Walau bagaimanapun, dalam beberapa kes, fungsi yang dicadangkan tidak dapat memberikan maklumat yang mencukupi tentang alternatif. Akibatnya, dalam kertas ini, kami akan mengatasi masalah yang tidak mencukupi sebelum ini dan menyediakan fungsi ketepatan baru untuk mengukur tahap maklumat kabur intuisi bernilai selang. Dan contoh praktikal telah disediakan untuk menunjukkan pendekatan cadangan kami. Di samping itu, untuk menjadikan keputusan pengkomputeran dan kedudukan lebih mudah dan untuk meningkatkan produktiviti merekrut, sistem antara muka berasaskan komputer telah dibangunkan untuk pembuat keputusan membuat keputusan dengan lebih cekap.
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Salinan
Kuo-Chen HUNG, Yuan-Cheng TSAI, Kuo-Ping LIN, Peterson JULIAN, "A Novel Measured Function for MCDM Problem Based on Interval-Valued Intuitionistic Fuzzy Sets" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 11, pp. 3059-3065, November 2010, doi: 10.1587/transinf.E93.D.3059.
Abstract: Several papers have presented measured function to handle multi-criteria fuzzy decision-making problems based on interval-valued intuitionistic fuzzy sets. However, in some cases, the proposed function cannot give sufficient information about alternatives. Consequently, in this paper, we will overcome previous insufficient problem and provide a novel accuracy function to measure the degree of the interval-valued intuitionistic fuzzy information. And a practical example has been provided to demonstrate our proposed approach. In addition, to make computing and ranking results easier and to increase the recruiting productivity, a computer-based interface system has been developed for decision makers to make decisions more efficiently.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.3059/_p
Salinan
@ARTICLE{e93-d_11_3059,
author={Kuo-Chen HUNG, Yuan-Cheng TSAI, Kuo-Ping LIN, Peterson JULIAN, },
journal={IEICE TRANSACTIONS on Information},
title={A Novel Measured Function for MCDM Problem Based on Interval-Valued Intuitionistic Fuzzy Sets},
year={2010},
volume={E93-D},
number={11},
pages={3059-3065},
abstract={Several papers have presented measured function to handle multi-criteria fuzzy decision-making problems based on interval-valued intuitionistic fuzzy sets. However, in some cases, the proposed function cannot give sufficient information about alternatives. Consequently, in this paper, we will overcome previous insufficient problem and provide a novel accuracy function to measure the degree of the interval-valued intuitionistic fuzzy information. And a practical example has been provided to demonstrate our proposed approach. In addition, to make computing and ranking results easier and to increase the recruiting productivity, a computer-based interface system has been developed for decision makers to make decisions more efficiently.},
keywords={},
doi={10.1587/transinf.E93.D.3059},
ISSN={1745-1361},
month={November},}
Salinan
TY - JOUR
TI - A Novel Measured Function for MCDM Problem Based on Interval-Valued Intuitionistic Fuzzy Sets
T2 - IEICE TRANSACTIONS on Information
SP - 3059
EP - 3065
AU - Kuo-Chen HUNG
AU - Yuan-Cheng TSAI
AU - Kuo-Ping LIN
AU - Peterson JULIAN
PY - 2010
DO - 10.1587/transinf.E93.D.3059
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2010
AB - Several papers have presented measured function to handle multi-criteria fuzzy decision-making problems based on interval-valued intuitionistic fuzzy sets. However, in some cases, the proposed function cannot give sufficient information about alternatives. Consequently, in this paper, we will overcome previous insufficient problem and provide a novel accuracy function to measure the degree of the interval-valued intuitionistic fuzzy information. And a practical example has been provided to demonstrate our proposed approach. In addition, to make computing and ranking results easier and to increase the recruiting productivity, a computer-based interface system has been developed for decision makers to make decisions more efficiently.
ER -