Assessment of stakeholder satisfaction as additive to improve building design quality: AHP-based approach

Design of a Thermal Hotel Based on AHP-QFD Methodology

“…Since AHP allows for the calculation of the consistency index during comparison, it is preferred for decisionmaking in MCDM. Due to its simplicity, ease of use, and great flexibility, the Analytic Hierarchy Process (AHP) has been studied extensively and used in nearly all applications related to multiple criteria decision-making (MCDM) since its development [31,[47][48][49][50][51][52][53][54][55]. Thus, the application of AHP has become a popular research method in various fields for assessing, rating, and determining the importance weightings for selection indicators or criteria [31,52].…”

“…Thus, data normalisation is an essential part of any decision-making process because it transforms the input data into numerical data [53]. After the data normalisation process, the significant priorities are determined using either the eigenvectors method or a simplified version with the Simple Additive Weighting (SAW) method [52] (Tables 1 and 2). According to the multiplicative reciprocal matrix, the maximal eigenvalue λ max and associated eigenvector can be obtained, and then the normalised eigenvector serves as the preference vector of the alternatives.…”

“…Based on the eigenvalue method, Saaty [2] developed a consistency index to quantify the inconsistency level of multiplicative reciprocal matrices [46,54,55]. Then, Saaty's consistency index is defined as follows (Fomulas (1) and ( 2)) [46,49,50,52,54]:…”

Opportunities for Using Analytical Hierarchy Process in Green Building Optimization

“…Allocate a plan layer for the buildings as a main standard guide technique for the home components [28], utilizing a multi-mode dynamic technique to grantee the standard fulfillment of leaders and recipients for development measure for all of the building structure [29], empower the environmental friendly frameworks to create different green building rating systems to increase the quality of buildings [30], create a decision-making classical system to support investors in selecting the materials that wanted to yield sustainable buildings [31], and estimate a green score and rank hostels indicators that outline green training in industry to develop a model to measure the green score values for structures [32], developing a multi criteria decision study of factors to improve decision making in substructure building schemes [33].…”

“…To explore a development elements for sustainable built-up renewal building to assess the masses of the derivative elements of it [34], select a fruitful retrofitting strategy that imitates the decision maker's aims to aid accomplish the objective of zero-energy constructions [35], building a criteria to rank some of indicators based on their level of significance to solve the energy conservation glitches [36], estimating a multidimensional measures that reflects all views in the building manufacture procedure to generate a fit and error-free buildings [37], building an internet-based policy development for smart buildings to study the features of any progress stage in buildings design [38].…”