Results 261 to 270 of about 76,934 (306)

Toward Interpretation of Complex Structural Models

IEEE Transactions on Systems, Man, and Cybernetics, 1974
The interpretation of complex structural models is facilitated by a variety of operations that can be carried out by a computer. Several of these involve partitions on a reachability matrix, which describes a contextual relation among the elements of the system under study.
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Structured specification of model interpreters

Proceedings ECBS'99. IEEE Conference and Workshop on Engineering of Computer-Based Systems, 2005
Model interpreters play an essential role in model integrated systems: they transform domain-specific models into executable models. The state-of-the-art of model interpreter writing needs to be advanced to enhance the reusability and maintainability of this software.
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Hierarchical structuring of organizational performance using interpretive structural modeling

2015 International Conference on Industrial Engineering and Operations Management (IEOM), 2015
Today's intense competition forces organizations to examine how they can improve performance as they seek to enhance their competitiveness. In order to design and implement an effective program for performance improvement, the interrelations among performance criteria and factors affecting them need to be understood.
Asil Nehad Abdel Jawad, Hamdi Bashir
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Hierarchical Structuring of PPP Risks Using Interpretative Structural Modeling

Journal of Construction Engineering and Management, 2010
Project risk management emphasizes the need to rank and prioritize risks in a project to focus the risk management efforts. This risk prioritization is of special significance in public-private partnership PPP projects, since project success depends upon the efficient allocation of risks to the party who can best manage it.
K. C. Iyer, Mohammed Sagheer
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Births Time Series Models and Structural Interpretations

Journal of the American Statistical Association, 1980
Abstract Saboia (1977) has developed a theory relating a particular type of births autoregressive moving average (ARMA) model to the classical deterministic cohort model of population growth. Reexamination of the data used by Saboia indicates that his estimated births models contain common factors and insignificant coefficients and cannot be regarded ...
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On the interpretation and interpretability of quantitative structure–activity relationship models

Journal of Computer-Aided Molecular Design, 2008
The goal of a quantitative structure-activity relationship (QSAR) model is to encode the relationship between molecular structure and biological activity or physical property. Based on this encoding, such models can be used for predictive purposes.
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Vendor Selection Using Interpretive Structural Modelling (ISM)

International Journal of Operations & Production Management, 1994
Vendor selection is one of the most important activities of a purchasing department. Traditionally, vendors are selected for their ability to meet the quality requirement, delivery performance and the price offered. However, as they are selected not only to meet the immediate requirement but also future needs, one needs to consider many other factors ...
Anukul Mandal, S.G. Deshmukh
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Correction procedures for flexible interpretive structural modeling

IEEE Transactions on Systems, Man, and Cybernetics, 1989
Flexible interpretive structural modeling (FISM) is an extended and improved version of the interpretive structural modeling developed by J.N. Warfield (1974). The computer algorithm of FISM is based on the partially filled reachability matrix (PR matrix) model, an extension of the reachability matrix (R matrix) model that has great utility in all ...
A. Ohuchi, I. Kaji
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Interpretive structural modeling of supply chain risks

International Journal of Physical Distribution & Logistics Management, 2011
PurposeThe aim of this paper is the structural analysis of potential supply chain risks. It will demonstrate how interpretive structural modeling (ISM) supports risk managers in identifying and understanding interdependencies among supply chain risks on different levels (e.g. 3PL, first‐tier supplier, focal company, etc.). Interdependencies among risks
Hans‐Christian Pfohl, Philipp Gallus, David Thomas   +2 more
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Causal Interpretation in Structural Models

2004
AbstractThis chapter applies the ideas about intervention and invariance developed in previous chapters to so-called causal models of the sort used in the social, behavioral, and biomedical sciences. Both regression models and structural equation models are explored and a modularity condition is defended in connection with the latter.
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