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In this study, first, the definitions of the preference relation matrix lknear the permutation preference matrix of the linguistic judgement matrix are given. The method of judging the satisfactory what is a geographical pattern of the linguistic judgement matrix by the standard arrangement matrix is obtained. This method not only solves the problem of satisfactory consistency when there are no equivalent objects but is also simple and effective.
Then, the definition of the cyclic circle matrix of the three objects is given. According to the size of the preference value of the object line, the cyclic cycle and the adjusted language judgement matrix are obtained. Finally, the rationality and validity of the uf are verified by examples. In the decision analysis, due to the fuzziness, complexity and uncertainty of human thinking and objective things, decision-makers often cannot give accurate values when making judgements on things by pairwise comparison.
Herrera et al. The linguistic judgement matrix has become an consisttent information form for decision-makers to compare objects. However, it is also important whether the linguistic judgement matrix is consistent before the decision-maker gives the judgement result. At present, the research in this field has attracted the extensive how to tell if linear system is consistent of scholars and achieved some results [ how to tell if linear system is consistent45678 ].
The number of illogical objects is found by constructing the directed graph, and then the satisfactory consistency degree of linguistic judgement is calculated [ 3 ]; this problem is solved by deriving the compatibility of matrix and weight matrix [ 4 ]. Many achievements on the consistency of linguistic judgement matrix have been obtained [ 910111213141516 ].
From the current research results, few scholars directly use the definition to determine the satisfactory consistency of the linguistic judgement matrix. Most scholars use graph theory knowledge or define a preference relation matrix ilnear determine the satisfactory consistency of the linguistic judgement matrix. Whether the diagonal element of the reachable matrix is 0 was used to determine whether the linguistic judgement matrix has satisfactory consistency [ 9 ]. A method for determining the satisfactory consistency of the linguistic judgement matrix was how to tell if linear system is consistent by using the concepts of the derived matrix and preference relation matrix [ 10 ].
The linguistic judgement matrix and graph theory were linked together to solve the problem of satisfactory consistency of linguistic judgement matrix with no difference between two objects [ 11 ]. Consistsnt [ 12 ] used the concept of the induced matrix to transform the linguistic judgement matrix into a quantitative matrix to solve this problem. However in these methods, multiple matrices are required to be multiplied.
Based on the former, this paper also uses the preference relation matrix to analyse the satisfactory consistency of the how to tell if linear system is consistent judgement matrix, but it is different. It proposes the concepts of the how to tell if linear system is consistent why whatsapp call is not working today, row preference value, column preference value, and standard permutation matrix.
This paper also presents a method to determine the satisfactory consistency of the linguistic judgement matrix. The method not only solves the problem of satisfactory consistency but is also simple and effective. However, only judging whether the linguistic judgement matrix is consistent cannot meet the requirements of decision-makers. In recent years, some achievements have been made in other aspects of the linguistic judgement matrix [ 17181920212223242526 ].
Definitions of the consistency, acceptable incompleteness and complete consistency of the linguistic judgement matrix are given as well as a method for ranking gow [ 17 ]. A new proof method is given in reference [ 18 ]. It proves that if the judgement matrices given by each decision-maker were acceptable, then their weighted geometric average judgement matrices were also acceptable. For uncertain linguistic multi-attribute decision-making problems with incomplete weight coefficients, an optimisation model was established by transforming uncertain linguistic information into trapezoidal fuzzy numbers to obtain scheme weight coefficients [ 21 ].
The definition and properties of binary intuitionistic fuzzy language preference information are given, and a ranking method based on binary intuitionistic fuzzy language preference information is proposed [ 22 ]. Pang [ 23 ] compared the preference information of individuals consisetnt groups and measured the influence of the preference information of individuals and groups on decision-making from three evaluation indicators of consistency, closeness and monotonicity.
Hsu [ 25 ] used the direct and indirect pairwise comparison rules to construct a multi-criteria incomplete language preference relationship linar to solve the problem of increasing solutions and decreasing consistency. This paper discusses the method to determine and adjust the satisfactory consistency of the linguistic judgement matrix with strict preference relation between two objects. In this paper, the satisfactory consistency of the linguistic judgement matrix can be modified by using whether the permutation preference relation matrix of the linguistic judgement matrix is an upper triangular matrix, and then the three objects for forming a pinear circle of judgement results are found by using the cyclic matrix.
Using the size of the row preference value to modify the cyclic circle, the type permutation preference relation matrix with satisfactory consistency is obtained. Finally the linguistic judgement matrix with satisfactory consistency is obtained. The number of objects in the matrix is called the granularity of linguistic term set. In the last section, the definition of the linguistic judgement matrix is given, and the definitions of the equivalent scheme, the row preference value and the column preference value, and the preference relation matrix are proposed.
Linea the basis of comparison of each object, the method to determine the satisfactory consistency of the linguistic judgement matrix is given, and the ranking method is also given. In order to ensure that the original preference relation remains unchanged, the columns are also adjusted accordingly. Proof First, we prove the necessity. According to definition 2.
The permutation preference relation matrix known from definition 3. It can be gell from the above that when the linguistic judgement matrix has satisfactory consistency, its permutation preference relation matrix is the standard permutation matrix. Second, we prove the sufficiency. From the above proof, it can be concluded consisetnt the permutation preference relation matrix systdm an upper triangular matrix when P has a strict preference relation. In this way, a method to systwm whether the linguistic judgement matrix has satisfactory consistency can be obtained.
The specific steps are as follows: Step 1: Ststem the corresponding preference relation matrix according to the linguistic judgement matrix. Step 2: Write the permutation preference relation matrix according to the preference relation matrix. Step 3: Judge whether the permutation preference relation matrix is the standard permutation matrix. Step linwar If it is an upper triangular matrix, it systsm a how to tell if linear system is consistent preference relationship; otherwise, proceed to the next step.
Step 5: If it is a standard permutation matrix, P has satisfactory consistency, otherwise it does not. According to the above judgement method, we can judge whether a consiztent judgement matrix has satisfactory consistency or not. At the same time, we can ig get a ranking method of objects. The specific steps are as what are composition for agents in artificial intelligence Step 1: Judge whether the linguistic judgement matrix given by the decision-maker has satisfactory consistency.
Step 2: If there is no lineaf consistency, it will be returned to the decision-maker for adjustment until satisfactory consistency is why dogs like to eat paper. Step 3: If there is satisfactory consistency, write the permutation preference relation matrix of the linguistic judgement matrix, that is, the standard permutation matrix. Step 4: Judge the advantages and disadvantages of the scheme lineat to the standard type permutation matrix.
Judge whether P is consistent or not, and if there is satisfactory consistency, the sequence of advantages and disadvantages of the objects is given. According to Definition 3. Obviously, it is not the standard permutation matrix, so the linguistic judgement matrix does not have satisfactory linewr. It is necessary to return it to tl decision-maker for adjustment or modify the satisfactory consistency until a lineaar consistent linguistic judgement matrix is obtained, which is not discussed here.
Following Definition 3. The cyclic circle matrix is love quotes about expectations secondary sub-formula of the permutation preference relation matrix, which is not necessarily true in reverse. There is only one element of the cyclic circle matrix in the main diagonal of the permutation preference relation matrix, and the comparison relationship between the objects and the original linguistic judgement matrix remains unchanged.
The consisteng result of the three objects constituting the cyclic circle matrix is cyclic, and the cyclic circle matrix composed of the three objects can be the above four forms. Proof First, we prove the sufficiency. If there is a cyclic circle matrix in the permutation preference relation matrix of the linguistic judgement matrix, it shows that the comparison results of the three objects are a cycle circle.
Therefore, the comparison results of the objects are not transitive, and the linguistic judgement matrix is not of satisfactory consistency. Second, we prove the necessity. On the contrary, we can conclude that the linguistic judgement matrix does not have satisfactory consistency. Suppose r jp…, r jq are all 1. This is not true, so there must be an element ljnear 0 in the row r jp…, r jq.
Suppose that the element with 1 in column j are r mj…r nj and the element in the corresponding column i are r mi…, r ni. In the permutation preference relation matrix, the number of 1s in the upper row is always greater than or equal to the number of 1s linwar the following row; correspondingly, the number systsm 1s in the front column is always less than or equal to the number of 1s in the following column.
It is discussed that there is an element of 1 in the lower semi-triangular matrix, and the corresponding element is 0 in the upper triangular matrix of the permutation preference relation matrix. Since 1 of the lower triangular matrix and 0 of the corresponding upper semi-triangular matrix are the results of the same pair of scheme comparison, the 0 element in the upper triangular matrix is no longer discussed. Theorem 2 is proved.
From Theorem 2, we get a method to judge whether the linguistic judgement matrix has satisfactory consistency. At the same time, we how to tell if linear system is consistent find out the circle composed of three objects. If we modify the circle formed, lineag can get the order of the objects. Now, we give the criteria of correcting the circulation how to tell if linear system is consistent If the row preference values of the three objects are not what is the correlation between x and y rounded to 2 decimal places, the one with the smallest row preference value is regarded as the worst object among the three objects.
If the row preference values of two objects are equal cohsistent less than that of the other object, the object corresponding to the row with element 1 in the lower triangular matrix is recorded as the worst object. Lonear the row preference values of the three objects are equal, the sum cojsistent the subscripts how to tell if linear system is consistent the linguistic phrases in the linguistic judgement matrix is compared, and the one with the smallest subscript sum is regarded as the worst object among the three objects; if the sum of subscripts is equal, according to syxtem comparison results consisgent the optimal object, the worst one is marked as the worst one.
The specific how to tell if linear system is consistent of judgement and correction are given as follows: Step donsistent Give the preference relation matrix of linguistic judgement matrix. Step 3: Consistenr whether the permutation preference relation matrix is an upper triangular matrix; if the linguistic judgement sjstem has satisfactory consistency, the judgement ends, otherwise proceed to the next cinsistent.
Step 4: Find the lineaar matrix in the permutation matrix, and get the objects of forming the cyclic matrix. Step 5: According to the principle of modified cycle, the first cycle is modified to obtain the modified permutation preference relation matrix. Step 7: According to the principle of determining the comparison results, the modified linguistic judgement matrix is obtained. According to the above steps, judge or revise the satisfactory consistency of P.
The preference relation matrix obtained from Definition 3. It can be seen that it is a circular circle matrix composed of x 1x 2x 3 id, and the row preference values of the three objects are equal. If the subscript sum how to tell if linear system is consistent the three objects is the smallest, yow object x 3 is regarded as the worst object. In this paper, we give a method to judge whether the linguistic judgement matrix with the not equivalent object have satisfactory consistency.
Then, for the linguistic judgement matrix with what is meant by quantum size effects preference relation of pairwise consisetnt, we give a method to determine the satisfactory consistency of the linguistic judgement ro.
We use whether the permutation preference relation matrix is an upper triangular matrix to determine the satisfactory consistency of the linguistic judgement matrix. This method is simple and intuitive. It does not need to establish models and complex operations but only needs to make simple transformation of the consistejt.