Technical Sessions – Monday July 11
Technical Sessions – Monday July 11
Technical Sessions – Monday July 11
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we develop a new version of the quasisecant method. We introduce a quasisecant<br />
locality condition. At each new iteration this condition allows us to identify<br />
quasisecants from past iterations. Such an approach leads to the reduction<br />
in the number of function and significant reduction in the number of quasisecant<br />
(subgradient) evaluations in comparison with the quasisecant method. We<br />
prove that the sequence of points generated by the algorithm converges to the<br />
set of Clarke stationary points. The preliminary results of numerical experiments<br />
are reported.<br />
4 - A Dual-penalty Update Based on Epsilon Subgradients<br />
for Solving Nonconvex Optimization<br />
Regina Burachik, School of Mathematics and Statistics,<br />
University of South Australia, Mawson Lakes, 5095, Adelaide,<br />
South Australia, Australia, regina.burachik@unisa.edu.au, C<br />
Yalcin Kaya<br />
Given a general augmented Lagrangian approach for solving a nonconvex and<br />
nonsmooth optimization problem, we use an epsilon subgradient step for improving<br />
the dual function. We show how this dual update tantamount to a<br />
penalty scheme, which is numerically more stable than the classical penalty<br />
update used in the literature. More precisely, we show that as long as the dual<br />
problem has solutions, the penalty parameter remains bounded above. We establish<br />
for this update both primal and dual convergence for some specific stepsizes.<br />
� FD-15<br />
Friday, 17:00-18:30<br />
Meeting Room 208<br />
Fuzzy Logic<br />
Stream: Contributed Talks<br />
Contributed session<br />
Chair: Jessica Naundorf, Department of Economics & Management,<br />
Otto-von-Guericke-University Magdeburg, Chair of Strategic<br />
Management and Organisation, P.O. Box 41 20, 39 016, Magdeburg,<br />
Germany, jessica.naundorf@ovgu.de<br />
1 - Development of a Fuzzy Rule-based System for the Appraisal<br />
of the Employer Attractiveness<br />
Jessica Naundorf, Department of Economics & Management,<br />
Otto-von-Guericke-University Magdeburg, Chair of Strategic<br />
Management and Organisation, P.O. Box 41 20, 39 016,<br />
Magdeburg, Germany, jessica.naundorf@ovgu.de, Thomas<br />
Spengler<br />
Employer Awards represent institutions in the economic sense, which establishment<br />
is rational especially in the case of information asymmetry. They are<br />
outcomes of corresponding signaling-strategies. To prevent possible alpha and<br />
beta errors, a simple rule-based system for the appraisal of the employer attractiveness<br />
considering the concept of fuzzy linguistic is developed. The proposed<br />
procedure represents an analytical assessment process based on a criterion hierarchy.<br />
Both the criteria values and the criteria weights can typically only be<br />
expressed in a fuzzy form. Therefore, we take into account fuzzy linguistic<br />
variables and fuzzy rules to avoid erroneous specifications of the system.<br />
2 - Time Dependent Intuitionistic Fuzzy Set<br />
Chien-Cheng Tu, Industrial and Information Management,<br />
National Cheng Kung University, No. 1, University Road, 701,<br />
Tainan, Taiwan, charvis.tw@gmail.com, Liang-Hsuan Chen<br />
This paper investigates the time-dependent decision-making problem in the uncertain<br />
environment. The intuitionistic fuzzy set (IFS) is used to describe the<br />
information with the degrees of truth and false. A reasonable assumption, that<br />
the degrees of truth and false will change during the decision-making period,<br />
is made in this study. The decision making quality is related to the information<br />
quality during the decision-making horizon. This paper defines the timedomain<br />
problem, derives the mathematical equations, and provides an illustrative<br />
example.<br />
3 - A Cutting Plane Algorithm for Solving Fuzzy Semiinfinite<br />
Linear Programming<br />
Alireza Fakharzadeh, Mathematics Dept., Shiraz University of<br />
Technology„ 71555-313, Shiraz, Iran, Islamic Republic Of,<br />
a_fakharzadeh@sutech.ac.ir, Somayeh Khosravi<br />
IFORS 20<strong>11</strong> - Melbourne FD-21<br />
Linear fuzzy phenomena have better presentation if they are modeled as a semiinfinite<br />
linear programming. No identified solution method has been presented<br />
for them yet. We propose an algorithm for non-symmetric fuzzy semi—infinite<br />
linear programming problems (FSILP) with fuzzy order relations of constraints.<br />
A finite subproblem was solved by Zadeh Method and defining a membership<br />
functions. Then a finite LP is introduced instead of the subproblem and a cutting<br />
plane method. Convergence theorem was proved and algorithm efficiency<br />
shown by test examples.<br />
� FD-18<br />
Friday, 17:00-18:30<br />
Meeting Room 215<br />
Applications of DEA<br />
Stream: Data Envelopment Analysis<br />
Invited session<br />
Chair: Mahnaz Maghbouli, Math and Economy Dept., Azad<br />
University, No 22-3 Bahar Alley-Shahriyar Street-Etesami Blvd-Vali<br />
Asr, 5157675334, Tabriz, East Azerbaijan, Iran, Islamic Republic Of,<br />
mahnaz4143@yahoo.ca<br />
1 - Ranking by Multi Component Efficiency with Shared<br />
Resources in Commercial Banks<br />
Mohsen Vaez Ghasemi, Mathematics, Islamic Azad University,<br />
Science and Research Branch, Hesarak St., Poonak Sq., Tehran,<br />
Iran, Islamic Republic Of, mohsen.vaez@gmail.com, Farhad<br />
Hosseinzadeh Lotfi, Mohsen Rostamy-Malkhalifeh<br />
In the most utilization of Data Envelopment Analysis, available models are<br />
obtaining a number of efficiency. Indeed, in old models, a Decision Making<br />
Unit had its own input and outputs, it can be only effective in its own rank and<br />
efficiency, but in this model we’re examining, some inputs are used for some<br />
components in common and the whole components are used to make some outputs,<br />
and we rank these DMUs by this situation. In this article, the ranking of<br />
four Banks has been examined and indices in question.<br />
2 - Efficiency After 10 Years of Liberalization: Performance<br />
Assesment of Indian Life Insurers<br />
Subir Sen, TERI University, 10 Institutional Area, <strong>11</strong>0070, New<br />
Delhi, Delhi, India, subir.econ@gmail.com<br />
A move towards growth of the Indian insurance sector was initiated via liberalization<br />
of the sector in 1999 and formation of Insurance Regulatory and Development<br />
Authority and in this paper we attempt to identify factors which were<br />
beneficial for growth of insurers following a decade of liberalization. Using<br />
DEA, efficiency and productivity of all registered life insurers for the period<br />
1999-00 to 2009-10 is examined. We further investigate relationship of performance<br />
indicators with financial ratios. Results suggest that some ratios are<br />
significant for efficiency improvements.<br />
3 - Sensitivity Analysis of University Libraries with DEA<br />
Mahnaz Maghbouli, Math and Economy Dept., Azad University,<br />
No 22-3 Bahar Alley-Shahriyar Street-Etesami Blvd-Vali Asr,<br />
5157675334, Tabriz, East Azerbaijan, Iran, Islamic Republic Of,<br />
mahnaz4143@yahoo.ca, Monireh Zoriehhabib<br />
This paper proposes a sensitivy analysis for evaluating efficiency of university<br />
libraries from Iran. This flexible non-parametric approach will provide some<br />
guidance to managers for improving quality performance level. Data Envelopment<br />
Analysis has been suggested to analyze the best units to be benchmarked<br />
against as well as in providing actionable measures for improvement of libraries’<br />
performance. An illustration is provided to demonstrate DEA sensitivy<br />
as a benchmarking tool against two factors. The results can provide directions<br />
for future research.<br />
� FD-21<br />
Friday, 17:00-18:30<br />
Meeting Room 218<br />
Underground Mine Planning, II<br />
Stream: Mining Applications<br />
Invited session<br />
Chair: Donal OSullivan, Division of Economics and Business,<br />
Colorado School of Mines, 1500 Illinois Street, 80401, Golden,<br />
Colorado, United States, dosulliv@mines.edu<br />
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