scholarly journals Multicriteria Analysis of Selected Building Thermal Insulation Solutions

2016 ◽  
Vol 62 (3) ◽  
pp. 137-148 ◽  
Author(s):  
P. Nowak ◽  
M. Skłodkowski
Keyword(s):  
Decision Making ◽  
Thermal Insulation ◽  
Optimal Solution ◽  
Multicriteria Analysis ◽  
Entropy Method ◽  
Science Literature ◽  
Construction Sector ◽  
Decision Making Problem ◽  
Selection Of

Abstract The purpose of this paper is to present and analyse the decision-making problem faced by a future house owner - selection of the optimal solution of building thermal insulation in relation to the selected criteria, both related to costs and future benefits. The problem of selecting the best solutions in the construction sector is widely discussed in the science literature. In this paper, the authors decided to solve the raised problem by using the Entropy method.

scholarly journals Selection of the Best Method for Underpinning Foundations Using the PROMETHEE II Method

2020 ◽  
Vol 12 (13) ◽  
pp. 5373 ◽  
Author(s):  
Ryszard Dachowski ◽  
Katarzyna Gałek
Keyword(s):  
Decision Making ◽  
Construction Industry ◽  
Optimal Solution ◽  
Preference Ranking ◽  
Promethee Ii ◽  
Jet Grouting ◽  
Decision Making Problem ◽  
Complex Decision Making ◽  
Complex Decision ◽  
Selection Of

This article proposes applying the preference-ranking organization method for enrichment of evaluations (PROMETHEE) II in the selection of the optimal solution and ranking of selected methods for underpinning foundations. Analysis of the selected foundation-underpinning methods was based on a complex decision-making problem that included aspects of the three pillars of sustainable development, and it was extended to include technological and constructional criteria. The study used the following criteria for assessing proposed variants: price, bearing capacity, noise and vibrations, necessary equipment, necessary excavations under final structure, failure rates, and necessary foundation shoring. Analysis using the PROMETHEE II method allowed for identifying strengths and weaknesses of selected methods for underpinning foundations. The PROMETHEE II method enabled to create a ranking of foundation-underpinning methods. Jet-grouting and root-pile methods were the highest scorers in this ranking and those that fulfilled the identified criteria to the greatest extent. Moreover, analysis showed that the PROMETHEE II method was useful in solving problems of choice in the construction industry.

scholarly journals Induced intuitionistic fuzzy ordered weighted averaging: Weighted average operator and its application to business decision-making

2014 ◽  
Vol 11 (2) ◽  
pp. 839-857 ◽  
Author(s):  
Zeng Shouzhen ◽  
Wang Qifeng ◽  
José Merigó ◽  
Pan Tiejun
Keyword(s):  
Decision Making ◽  
Weighted Average ◽  
Aggregation Operator ◽  
Weighted Averaging ◽  
Business Decision ◽  
Ordered Weighted Averaging ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Weighted Average ◽  
Decision Making Problem ◽  
Selection Of

We present the induced intuitionistic fuzzy ordered weighted averaging-weighted average (I-IFOWAWA) operator. It is a new aggregation operator that uses the intuitionistic fuzzy weighted average (IFWA) and the induced intuitionistic fuzzy ordered weighted averaging (I-IFOWA) operator in the same formulation. We study some of its main properties and we have seen that it has a lot of particular cases such as the IFWA and the intuitionistic fuzzy ordered weighted averaging (IFOWA) operator. We also study its applicability in a decision-making problem concerning strategic selection of investments. We see that depending on the particular type of I-IFOWAWA operator used, the results may lead to different decisions.

scholarly journals Selection of optimal thickness of thermal insulation of modular buildings on the basis of multicriterial analysis

2020 ◽  
pp. 82-91
Author(s):  
V. Zhelykh ◽  
◽  
Yu. Furdas ◽  
S. Shapoval ◽  
M. Rebman ◽  
...  
Keyword(s):  
Thermal Insulation ◽  
Multicriteria Analysis ◽  
Theoretical Research ◽  
Expert Assessment ◽  
Insulation Material ◽  
Modular Construction ◽  
Optimal Thickness ◽  
Short Period ◽  
Modular Buildings ◽  
Selection Of

Today modular construction is gaining popularity in the arrangement of production facilities. The purpose of the research is the theoretical substantiation of the choice of the optimal thickness of thermal insulation for external protections of modular buildings taking into account the evaluation criteria based on the method of hierarchy analysis. The article reflects the possibility of using modular buildings for residential and public needs. Given the peculiarities of the use of thermal insulation materials, such structures are erected in a short period of time due to the use of ready-made modules. It is also proposed to use multicriteria analysis to compare different thicknesses of thermal insulation of a modular building. The obtained results are presented in the form of petal diagrams and diagrams of global priorities, which made it possible to make an in-depth assessment of several thicknesses of thermal insulation. When conducting theoretical research, it should be noted that the importance of each of the criteria was taken into account for the selection of thermal insulation. An expert assessment was performed to determine the thickness of thermal insulation, which can be used for lightweight prefabricated structures of modular buildings. As a result of research, it was found that the most suitable thermal insulation material is polyurethane.

scholarly journals Measuring the technical efficiency of local banks in UAE using rough bi-level linear programming technique

2015 ◽  
Vol 1 (1) ◽  
pp. 26
Author(s):  
Doaa Wafik ◽  
O. E. Emam
Keyword(s):  
Decision Making ◽  
Linear Programming ◽  
Technical Efficiency ◽  
Auxiliary Problem ◽  
Optimal Solution ◽  
Objective Functions ◽  
Programming Technique ◽  
Decision Making Problem ◽  
Linear Objective Functions ◽  
Linear Programming Technique

The aim of this paper is to use a bi-level linear programming technique with rough parameters in the constraints, for measuring the technical efficiency of local banks in UAE and Egypt, while the proposed linear objective functions will be maximized for different goals. Based on Dauer's and Krueger's goal programmingmethod, the described approach was developed to deal with the bi-level decision-making problem. The concept of tolerance membership function together was used to generate the optimal solution for the problem under investigation. Also an auxiliary problem is discussed to illustrate the functionality of the proposed approach.

Supplier Selection Under Conditions of Uncertainty

2019 ◽  
Vol 12 (4) ◽  
pp. 42-54
Author(s):  
Farouq Alhourani ◽  
Umesh Saxena
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Maximum Entropy Method ◽  
Probability Function ◽  
Real Life ◽  
Entropy Method ◽  
Risk And Uncertainty ◽  
Chain Management ◽  
Risk Condition ◽  
Selection Of

Supplier selection is one of the critical decision-making problems in supply chain management. The purpose of this research is to investigate the process that is commonly used for calculating a “score” for each supplier when certain attributes are used. In decision making theory, the selection of “best” alternative can be done under three different conditions: certainty, risk, and uncertainty. Most of the current research uses “certainty” conditions. This article suggests that the “uncertainty” condition should be used in supplier selection as it corresponds to real-life more than the certainty or risk condition. “Maximum entropy” method is used to ascertain the probability function of the outcomes. Once the probability functions are known, means and variance can be calculated, and the suppliers can be evaluated.

The Methodology for the Selection of Technologies for the Removal of Microorganisms from ETICS

2016 ◽  
Vol 820 ◽  
pp. 200-205 ◽  
Author(s):  
Naďa Antošová ◽  
Katarína Minarovičová
Keyword(s):  
Decision Making ◽  
Thermal Insulation ◽  
Composite System ◽  
Biological Materials ◽  
Decision Making Process ◽  
Strategic Reasoning ◽  
Unicellular Organisms ◽  
Selection Of

The paper has the ambition to point out the validation of conceptual and a strategic reasoning in the design of solution of “green façade” with external thermal insulation composite system (ETICS). The text deals with selected information derived from long-term research on contamination of ETICS by biological materials (mostly unicellular organisms - algae). The paper concludes with a draft of decision-making process.

An Integrated Intuitionistic Fuzzy MCDM Approach to Select Cloud-Based ERP System for SMEs

2019 ◽  
Vol 18 (06) ◽  
pp. 1875-1908
Author(s):  
Akshay Hinduja ◽  
Manju Pandey
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Managerial Decision ◽  
Erp System ◽  
Intuitionistic Fuzzy ◽  
Decision Making Problem ◽  
Fuzzy Preference Relations ◽  
Priority Method ◽  
Selection Of

ERP system is a software package that integrates and manages all the facets of the business and deeply influences the success of a business endeavor. The increasing competition in the market, rapidly changing demands, and increasing intricacy of business procedures induce enterprises to adopt ERP solutions. Adopting an ERP solution increases synchronization between business activities and reinforces managerial decision-making. However, it also involves a large investment, a significant amount of human resources and time, and risk of failure. Therefore, the selection of an ERP solution is a crucial decision for enterprises. To address this decision-making problem, we propose a four-stage multi-criteria decision-making approach in this paper. Three prevalent MCDM techniques, DEMATEL, IF-ANP, and IF-AHP, are used in different stages of the methodology to achieve better outcomes. The methodology incorporates the intuitionistic fuzzy sets to capture uncertainty and hesitancy involved in decision makers’ judgments. In addition, we develop a novel priority method to derive weights from the intuitionistic fuzzy preference relations. To validate the feasibility of the proposed approach, a case study is carried out on the selection of cloud-based ERP system for SMEs in the Chhattisgarh state of India, which indicates that the proposed four-stage approach effectively handles the ERP selection problem.

An approach to hesitant fuzzy multi-stage multi-criterion decision making

Kybernetes ◽  
2014 ◽  
Vol 43 (9/10) ◽  
pp. 1447-1468 ◽  
Author(s):  
Huchang Liao ◽  
Zeshui Xu ◽  
Jiuping Xu
Keyword(s):  
Decision Making ◽  
Fuzzy Variable ◽  
Entropy Method ◽  
Aggregation Operators ◽  
Average Deviation ◽  
Content Type ◽  
Preference Information ◽  
Multi Stage ◽  
Fuzzy Aggregation ◽  
Decision Making Problem

Purpose – The purpose of this paper is to develop some weight determining methods for hesitant fuzzy multi-criterion decision making (MCDM) in which the preference information on attributes is collected over different periods. Design/methodology/approach – Based on the proposed weight determining methods and dynamic hesitant fuzzy aggregation operators, an approach is developed to solve the hesitant fuzzy multi-stage multi-attribute decision-making problem where all the preference information of attributes over different periods is represented in hesitant fuzzy values. Findings – In order to determine the weights associated with dynamic hesitant fuzzy operators, the authors propose the improved maximum entropy method and the minimum average deviation method. Research limitations/implications – This paper does not consider the multi-stage multi-criteria group decision-making problem. Practical implications – An example concerning the evaluation of rangelands is given to illustrate the validation and efficiency of the proposed approach. It should be stated that the proposed approach can also be implemented into other multi-stage MCDM problems. Originality/value – The concept of hesitant fuzzy variable (HFV) is defined. Some operational laws and properties of the HFVs are given. Moreover, to fuse the multi-stage hesitant fuzzy information, the aggregation operators of hesitant fuzzy sets are extended to that of the HFVs.

scholarly journals GREENHOUSE LOCATING BASED ON ANP-COPRAS-G METHODS – AN EMPIRICAL STUDY BASED ON IRAN

2012 ◽  
Vol 16 (2) ◽  
pp. 188-200 ◽  
Author(s):  
Nahid Rezaeiniya ◽  
Sarfaraz Hashemkhani Zolfani ◽  
Edmundas Kazimieras Zavadskas
Keyword(s):  
Decision Making ◽  
Empirical Study ◽  
Regional Economy ◽  
Raw Materials ◽  
Multi Criteria Decision Making ◽  
Decision Making Problem ◽  
Network Process ◽  
Interdependent Relationships ◽  
Research Analysis ◽  
Selection Of

The selection of a location among alternative locations is a multi criteria decision-making problem including both quantitative and qualitative criteria. In this paper, we describe the research and development of hybrid MCDM methods for greenhouse locating. Selection of the most appropriate location for investor is an important problem which requires assessment and analysis of several factors. The paper clarifies the structure of important criteria in greenhouse locating. The six factors identified were: labor, government, environment, physical condition, regional economy and raw materials. In this research, analysis network process (ANP) is applied to find the relative weights among the criteria and to emphasize the interdependent relationships, thus increasing the accuracy of our results COPRAS-G method is applied to rank for five regions in Amol city, in Iran. This article can be a guideline for investors to select the best location for greenhouses.

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