Quantifying System Vulnerability As a Performance Measure for Systems Investment Evaluation and Decision-Making

2011 ◽  
Author(s):  
S. Labi ◽  
Q. Bai ◽  
I. Kumar ◽  
A. Ahmed ◽  
P. Anastasopoulos
Keyword(s):  
Decision Making ◽  
Performance Measure ◽  
Investment Evaluation ◽  
System Vulnerability ◽  
A Performance

On the dependence structure and bounds of correlated parallel queues and their applications to synchronized stochastic systems

2000 ◽  
Vol 37 (04) ◽  
pp. 1020-1043 ◽  
Author(s):  
Haijun Li ◽  
Susan H. Xu
Keyword(s):  
Stochastic Systems ◽  
Queueing Systems ◽  
Performance Measure ◽  
Upper And Lower Bounds ◽  
Dependence Structure ◽  
Single Server ◽  
Joint Performance ◽  
Comparison Results ◽  
Arrival Processes ◽  
A Performance

This paper studies the dependence structure and bounds of several basic prototypical parallel queueing systems with correlated arrival processes to different queues. The marked feature of our systems is that each queue viewed alone is a standard single-server queuing system extensively studied in the literature, but those queues are statistically dependent due to correlated arrival streams. The major difficulty in analysing those systems is that the presence of correlation makes the explicit computation of a joint performance measure either intractable or computationally intensive. In addition, it is not well understood how and in what sense arrival correlation will improve or deteriorate a system performance measure. The objective of this paper is to provide a better understanding of the dependence structure of correlated queueing systems and to derive computable bounds for the statistics of a joint performance measure. In this paper, we obtain conditions on arrival processes under which a performance measure in two systems can be compared, in the sense of orthant and supermodular orders, among different queues and over different arrival times. Such strong comparison results enable us to study both spatial dependence (dependence among different queues) and temporal dependence (dependence over different time instances) for a joint performance measure. Further, we derive a variety of upper and lower bounds for the statistics of a stationary joint performance measure. Finally, we apply our results to synchronized queueing systems, using the ideas combined from the theory of orthant and supermodular dependence orders and majorization with respect to weighted trees (Xu and Li (2000)). Our results reveal how a performance measure can be affected, favourably or adversely, by different types of dependencies.

scholarly journals A Q-RUNG ORTHOPAIR FUZZY GLDS METHOD FOR INVESTMENT EVALUATION OF BE ANGEL CAPITAL IN CHINA

2020 ◽  
Vol 26 (1) ◽  
pp. 103-134 ◽  
Author(s):  
Huchang Liao ◽  
Hongrun Zhang ◽  
Cheng Zhang ◽  
Xingli Wu ◽  
Abbas Mardani ◽  
...  
Keyword(s):  
Decision Making ◽  
Fuzzy Set ◽  
Distance Measure ◽  
Intuitionistic Fuzzy Set ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Investment Evaluation ◽  
Dominance Score ◽  
Do So

As a generalized form of both intuitionistic fuzzy set and Pythagorean fuzzy sets, the q-rung orthopair fuzzy set (q-ROFS) has strong ability to handle uncertain or imprecision decisionmaking problems. This paper aims to introduce a new multiple criteria decision making method based on the original gain and lost dominance score (GLDS) method for investment evaluation. To do so, we first propose a new distance measure of q-rung orthopair fuzzy numbers (q-ROFNs), which takes into account the hesitancy degree of q-ROFNs. Subsequently, two methods are developed to determine the weights of DMs and criteria, respectively. Next, the original GLDS method is improved from the aspects of dominance flows and order scores of alternatives to address the multiple criteria decision making problems with q-ROFS information. Finally, a case study concerning the investment evaluation of the BE angle capital is given to illustrate the applicability and superiority of the proposed method.

Incentives and Innovation: A Multitasking Approach

2011 ◽  
Vol 3 (1) ◽  
pp. 78-128 ◽  
Author(s):  
Thomas Hellmann ◽  
Veikko Thiele
Keyword(s):  
Intellectual Property ◽  
Property Rights ◽  
Intellectual Property Rights ◽  
Performance Metrics ◽  
Performance Measure ◽  
Ex Post ◽  
A Performance

This paper develops a multitask model where employees make choices between their assigned standard tasks, for which the firm has a performance measure and provides incentives, and privately observed innovation opportunities that fall outside of the performance metrics, and require ex post bargaining. If innovations are highly firm specific, firms provide lower-powered incentives for standard tasks to encourage more innovation, yet in equilibrium employees undertake too few innovations. The opposite occurs if innovations are less firm specific. We also investigate the effectiveness of several possibilities to encourage innovation, such as tolerance for failure, stock-based compensation, and the allocation of intellectual property rights. (JEL D21, J33, M12, O31, O34)

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