According to the high importance of the university in the growth and development of the country, the efficiency of educational and research groups in universities is very important. The black box Data Envelopment Analysis (DEA) model is mathematical programming for measuring the relative efficiency of a set of Decision-making units (DMUs), without considering the operations of the component processes that may have misleading results. To overcome this defect, network models are recommended. This paper intends to propose a hybrid Intuitionistic Fuzzy Analytic Network Process (IFANP) and Network DEA (NDEA) technique to evaluate the efficiency of the faculty of basic sciences of Islamic Azad University. IFANP is used to evaluate the overall weights among all the criteria and sub-criteria and these weights are used in the NDEA model to measure the relative efficiency The hypothetical example shows that the efficiency of all DMUs is equal to 1 by using the DEA, and there is no ranking between DMUs. The results of the IFANP-NDEA are more meaningful because of the full ranking of DMUs, considering component process operations. Also, it can prioritize efficient DMUs, provide the efficiencies of the DMU's functions which enables managers to identify areas of weakness.

One of the fundamental issues facing universities, research centers and institutes of higher education is the absence of an integrated system for performance evaluation. Data Envelopment Analysis (DEA) is a mathematical and management technique for evaluation of Decision Making Units (DMUs) with multiple input and output. The original DEA does not perform full-ranking; instead, it merely provides classification into two groups: efficient and inefficient. Among the available multi-attribute decision-making methods only Analytic Network Process (ANP) can be used to evaluate performance systematically due to the dependencies and feedbacks caused by the mutual effects of the criteria. The DEA-ANP hybrid algorithm, is designed to eliminate the disadvantage of full-ranking in the DEA method, as well as the disadvantage of subjective evaluation in the ANP method. The goal of this chapter is measuring educational and research performance of seventeen faculties, for the academic year 2009-2010, by using the DEA-ANP hybrid algorithm.

We studied specimens of Anacroneuria (Plecoptera: Perlidae) collected from the region of Goiás City, Goiás State, Brazil. Two new species of Anacroneuria, A. meloi Bispo & Novaes and A. corae Bispo & Novaes are described and A. debilis (Pictet) is recorded for the first time from Goiás State.

The Malmquist Productivity Index (MPI) evaluates the productivity change of a Decision Making Unit (DMU) between two time periods. DEA considers performance analysis at a given point of time. Classic Malmquist Productivity Index shows regress and progress of a DMU in different periods with efficiency and technology variations without considering the present value of money. In this chapter Application of Malmquist productivity index in integrated units of power plant is discussed. Four units of one of the power plants are assessed & the data of its five successive years are supplied. Also application of Malmquist productivity index (precise data) in Safa Rolling and pipe plants for the time period of 2007 – 2012 is studied.