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Information Journal Paper

Title

COMPUTATIONAL STRATEGY OF RUSSELL MEASURE

Pages

  39-50

Abstract

 Models of Data envelopment analysis (DEA) can be partitioned in to two groups: radial and non-radial models. The performance of decision making units (DUMs) depends only on the identified efficient frontier characterized by efficient units. In the analytical framework of the radial EFFICIENCY measure, RUSSELL MEASURE is proposed, which is modeled by a non-linear programming formulation. This study develops the RUSSELL MEASURE of EFFICIENCY to measurement technical EFFICIENCY. This extensive of DEA models, is illustrated by an empirical application to bank branches.

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    APA: Copy

    KORD ROSTAMI, SOHRAB, AMIR TEYMOURI, ALI REZA, & SALAHSHOURRAD, M.. (2006). COMPUTATIONAL STRATEGY OF RUSSELL MEASURE. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), 3(8), 39-50. SID. https://sid.ir/paper/164730/en

    Vancouver: Copy

    KORD ROSTAMI SOHRAB, AMIR TEYMOURI ALI REZA, SALAHSHOURRAD M.. COMPUTATIONAL STRATEGY OF RUSSELL MEASURE. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS)[Internet]. 2006;3(8):39-50. Available from: https://sid.ir/paper/164730/en

    IEEE: Copy

    SOHRAB KORD ROSTAMI, ALI REZA AMIR TEYMOURI, and M. SALAHSHOURRAD, “COMPUTATIONAL STRATEGY OF RUSSELL MEASURE,” JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), vol. 3, no. 8, pp. 39–50, 2006, [Online]. Available: https://sid.ir/paper/164730/en

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