A fuzzy group multi-criteria enterprise architecture framework selection model

Issues limiting the evaluation of post implemented enterprise architecture

“…Most of the reviewed evaluation models do not provide the step by step guidance of the EA evaluation process. Employing an appropriate method for implementing the EA evaluation process will tremendously contribute to preventing users' interpretation on the evaluation processes and activities [7,21].…”

“…In order to provide an appropriate environment for alignment between business and IT, EA describes the current architecture (As-Is), elaborates the desired architecture (To-Be), and represents the migration plan for transition from current architecture to desired architecture for the enterprise [3,4]. Four architectural levels business, data, application, and infrastructure need to be described in these three aforementioned stages of an EA project [5][6][7].…”

A bilateral exchange model: The paradox of quantifying the linguistic values of qualitative characteristics

“…For example, the data retrieved by [2,3] on iPhone usage and acceptance relies on evidence derived from netnographic linguistic variables. Similarly, vague evaluations are generally received by DMs when making subjective risky decisions at the initial stages of a given project (see [41,44]). The effect of these linguistic reports on the expectations of DMs, their degree of trust on a firm or project and acceptance of a novel technological product, see [9], can all be studied using the current formal setting.…”

Some Generalized Dependent Aggregation Operators with Interval-Valued Intuitionistic Fuzzy Information and Their Application to Exploitation Investment Evaluation

“…Multiple attribute group decision making (MAGDM) is an important part of decision theories and the purpose of MAGDM is to find a desirable solution from finite alternatives by a group of experts assessing on multiple attributes with different types of decision information, such as crisp numbers [1][2][3][4][5], interval values [6][7][8], linguistic scales [9][10][11], and fuzzy numbers [12][13][14][15][16][17]. In order to better handle the fuzziness and uncertainty in decision process, intuitionistic fuzzy set (IFS) [18] and interval-valued intuitionistic fuzzy set (IVIFS) [19] have been introduced and increasing approaches [20][21][22][23][24][25][26][27][28][29][30][31] for MAGDM with intuitionistic fuzzy information can be found in related research literatures.…”